package tarantula.experiment.math;

import junit.framework.*;

public class MathTestsForTarantula0 extends TestCase {

  // Runs all the tests in this file.
  public static void main(String[] args) {
    junit.textui.TestRunner.run(MathTestsForTarantula0.class);
  }

  public void test1() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Integer var5 = new java.lang.Integer(10);
    int var6 = org.apache.commons.math.util.MathUtils.indicator((int)var5);
    java.lang.Integer var7 = new java.lang.Integer(10);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var8 = var4.getSubVector((int)var6, (int)var7);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test2() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    double[] var16 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var17 = var9.add(var16);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test3() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    boolean var4 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      long var6 = org.apache.commons.math.util.MathUtils.factorial((int)var5);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }

  }

  public void test4() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    org.apache.commons.math.linear.RealVector var8 = var7.getCoefficients();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);

  }

  public void test5() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapAcosToSelf();
    double[] var17 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var18 = var9.getL1Distance(var17);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test6() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    org.apache.commons.math.linear.RealVector var15 = var13.mapAsinToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var16 = var2.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test7() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    double[] var5 = new double[] { var3, var4};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var6 = var2.projection(var5);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test8() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    double[] var27 = new double[] { var25, var26};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.DimensionMismatchException with canonical name: org.apache.commons.math.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      var24.addValue(var27);
      fail("Expected exception of type org.apache.commons.math.DimensionMismatchException");
    } catch (org.apache.commons.math.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test9() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(100.0d);
    double[] var18 = new double[] { var17};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var19 = var9.dotProduct(var18);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test10() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    double[] var11 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var12 = var9.getL1Distance(var11);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test11() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.util.Iterator var15 = var12.sparseIterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test12() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.RealVector var18 = var7.mapCbrt();
    org.apache.commons.math.linear.RealVector var19 = var7.mapCbrtToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var20 = var2.getL1Distance((org.apache.commons.math.linear.RealVector)var7);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test13() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    java.lang.Double var4 = new java.lang.Double(100.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    double[] var6 = new double[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var7 = var3.ebeDivide(var6);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test14() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    double var15 = var4.getMinValue();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test15() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    boolean var4 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Boolean var6 = new java.lang.Boolean(true);
    // The following exception was thrown during execution.
    // Exception class: class java.lang.NegativeArraySizeException with canonical name: java.lang.NegativeArraySizeException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var7 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var5, var6);
      fail("Expected exception of type java.lang.NegativeArraySizeException");
    } catch (java.lang.NegativeArraySizeException e) {
      // Expected exception.
    }

  }

  public void test16() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(100.0d);
    double[] var18 = new double[] { var17};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var19 = var9.dotProduct(var18);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test17() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var9};
    org.apache.commons.math.linear.OpenMapRealVector var11 = new org.apache.commons.math.linear.OpenMapRealVector(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var12};
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = var11.add(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var16};
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var18.add(var21);
    double var23 = var14.dotProduct(var21);
    org.apache.commons.math.linear.RealVector var24 = var21.mapAtanToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var25 = var7.getValue(var24);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test18() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(1.0d);
    double[] var21 = new double[] { var18, var19, var20};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var22 = var17.dotProduct(var21);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test19() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.NonMonotonousSequenceException with canonical name: org.apache.commons.math.exception.NonMonotonousSequenceException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.util.MathUtils.checkOrder(var3);
      fail("Expected exception of type org.apache.commons.math.exception.NonMonotonousSequenceException");
    } catch (org.apache.commons.math.exception.NonMonotonousSequenceException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test20() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    org.apache.commons.math.linear.RealVector var17 = var11.ebeDivide((org.apache.commons.math.linear.RealVector)var16);
    org.apache.commons.math.linear.RealVector var18 = var11.mapLog10ToSelf();
    java.lang.Double var19 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var20 = var11.mapMultiplyToSelf((double)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Double var36 = new java.lang.Double(1.0d);
    java.lang.Double var37 = new java.lang.Double(1.0d);
    boolean var38 = org.apache.commons.math.util.MathUtils.equals((double)var36, (double)var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    boolean var43 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var34, (double)var37, (double)var41);
    org.apache.commons.math.linear.RealVector var44 = var25.append((double)var37);
    org.apache.commons.math.linear.RealVector var45 = var11.mapAddToSelf((double)var37);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var46 = var5.ebeDivide(var45);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test21() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    double var23 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var16, (double)var19);
    var12.set((double)var23);
    java.lang.Integer var25 = new java.lang.Integer(100);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      double var26 = var12.getEntry((int)var25);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test22() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    double var23 = var17.getL1Distance(var22);
    org.apache.commons.math.linear.RealVector var24 = var17.mapSignum();
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    java.lang.Double var27 = new java.lang.Double(10.0d);
    double[] var28 = new double[] { var25, var26, var27};
    double var29 = var17.getDistance(var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
    org.apache.commons.math.linear.RealVector var41 = var34.mapLog10ToSelf();
    java.lang.Double var42 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var43 = var34.mapMultiplyToSelf((double)var42);
    org.apache.commons.math.linear.RealVector var44 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var34);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var45 = var7.getValue((org.apache.commons.math.linear.RealVector)var34);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test23() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    org.apache.commons.math.linear.RealVector var24 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    org.apache.commons.math.linear.RealVector var29 = var23.mapPowToSelf((double)var27);
    java.lang.Double[] var30 = new java.lang.Double[] { var27};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var31.mapCbrtToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var33 = var4.getL1Distance(var31);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test24() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    org.apache.commons.math.linear.RealVector var14 = var4.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var15 = var4.mapExpToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test25() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var17.mapAsin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test26() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    double[] var20 = new double[] { var17, var18, var19};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealMatrix var21 = var5.outerProduct(var20);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test27() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double(0.0d);
    double[] var3 = new double[] { var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var0, var3);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test28() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    java.lang.Double var32 = new java.lang.Double(10.0d);
    double[] var33 = new double[] { var31, var32};
    double var34 = org.apache.commons.math.util.MathUtils.safeNorm(var33);
    var17.setEntry((int)var30, (double)var34);
    int var36 = var17.getMaxIndex();
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(10.0d);
    double[] var40 = new double[] { var37, var38, var39};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var41 = var17.subtract(var40);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test29() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var21.mapDivide((double)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var37.ebeDivide((org.apache.commons.math.linear.RealVector)var42);
    org.apache.commons.math.linear.RealVector var44 = var37.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var45 = var37.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var46 = var21.subtract(var37);
    org.apache.commons.math.linear.RealVector var47 = var37.mapSignum();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var48 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test30() throws Throwable {

    org.apache.commons.math.linear.OpenMapRealVector var0 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var1 = var0.getSparsity();
    org.apache.commons.math.linear.RealVector var2 = var0.mapSinhToSelf();
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(10.0d);
    java.lang.Double var16 = new java.lang.Double(100.0d);
    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
    org.apache.commons.math.linear.RealVector var18 = var12.mapPowToSelf((double)var16);
    java.lang.Double[] var19 = new java.lang.Double[] { var16};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    org.apache.commons.math.linear.RealVector var21 = var20.mapCbrtToSelf();
    java.lang.Integer var22 = new java.lang.Integer(100);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    int var27 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var22, (int)var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    int var32 = org.apache.commons.math.util.MathUtils.gcd((int)var26, (int)var31);
    int var33 = org.apache.commons.math.util.MathUtils.sign((int)var32);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    java.lang.Double var35 = new java.lang.Double(10.0d);
    double[] var36 = new double[] { var34, var35};
    double var37 = org.apache.commons.math.util.MathUtils.safeNorm(var36);
    var20.setEntry((int)var33, (double)var37);
    int var39 = var20.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    org.apache.commons.math.linear.RealVector var50 = var44.ebeDivide((org.apache.commons.math.linear.RealVector)var49);
    org.apache.commons.math.linear.RealVector var51 = var49.mapAsinToSelf();
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var57, var58, var59};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var56.ebeDivide((org.apache.commons.math.linear.RealVector)var61);
    org.apache.commons.math.linear.RealVector var63 = var56.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var64 = var49.ebeDivide(var56);
    org.apache.commons.math.linear.RealVector var65 = var49.mapLog1pToSelf();
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(10.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    java.lang.Double var69 = new java.lang.Double(1.0d);
    boolean var70 = org.apache.commons.math.util.MathUtils.equals((double)var68, (double)var69);
    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    org.apache.commons.math.linear.RealVector var72 = var49.mapPow((double)var67);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var0.setEntry((int)var39, (double)var67);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);

  }

  public void test31() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(10L);
    long var1 = org.apache.commons.math.util.MathUtils.sign((long)var0);

  }

  public void test32() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapAsinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test33() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    java.lang.Integer var20 = new java.lang.Integer(0);
    java.lang.Long var21 = new java.lang.Long(100L);
    int var22 = org.apache.commons.math.util.MathUtils.pow((int)var20, (long)var21);
    int var23 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var19, (int)var20);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var15, (int)var19);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var25, var26, var27};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var14.setSubVector((int)var24, var28);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test34() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn5();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    var8.setIEEEFlagsBits((int)var16);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test35() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapSqrtToSelf();
    double[] var30 = var21.getDataRef();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test36() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    org.apache.commons.math.linear.OpenMapRealVector var11 = var10.unitVector();
    double var12 = var6.getDistance(var10);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    org.apache.commons.math.linear.RealVector var23 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var22);
    org.apache.commons.math.linear.RealVector var24 = var17.mapLog10ToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var25 = var6.ebeDivide(var24);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test37() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapSqrtToSelf();
    java.lang.Double var30 = new java.lang.Double(100.0d);
    double[] var31 = new double[] { var30};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var32 = var21.getLInfDistance(var31);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test38() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var25 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getSumLogImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test39() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    double var12 = var9.getLInfNorm();
    java.lang.Double var13 = new java.lang.Double(100.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    double[] var15 = new double[] { var13, var14};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var16 = var9.add(var15);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test40() throws Throwable {

    double[] var0 = new double[] { };
    double var1 = org.apache.commons.math.util.MathUtils.safeNorm(var0);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);

  }

  public void test41() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var20.append((double)var34);
    java.lang.Double var39 = new java.lang.Double(0.0d);
    double[] var40 = new double[] { var39};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var41 = var20.getLInfDistance(var40);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test42() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Integer var17 = new java.lang.Integer(10);
    java.lang.Integer var18 = new java.lang.Integer(10);
    double var19 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var17, (int)var18);
    // The following exception was thrown during execution.
    // Exception class: class java.lang.IllegalArgumentException with canonical name: java.lang.IllegalArgumentException
    // This behavior will recorded for regression testing.
    try {
      double var20 = org.apache.commons.math.util.MathUtils.round((double)var5, (int)var16, (int)var17);
      fail("Expected exception of type java.lang.IllegalArgumentException");
    } catch (java.lang.IllegalArgumentException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test43() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(0.0d);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var49, var50, var51};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var48.ebeDivide((org.apache.commons.math.linear.RealVector)var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    org.apache.commons.math.linear.RealVector var59 = var53.mapPowToSelf((double)var57);
    java.lang.Double[] var60 = new java.lang.Double[] { var57};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var61.mapCbrtToSelf();
    java.lang.Integer var63 = new java.lang.Integer(100);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var63, (int)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    int var73 = org.apache.commons.math.util.MathUtils.gcd((int)var67, (int)var72);
    int var74 = org.apache.commons.math.util.MathUtils.sign((int)var73);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    java.lang.Double var76 = new java.lang.Double(10.0d);
    double[] var77 = new double[] { var75, var76};
    double var78 = org.apache.commons.math.util.MathUtils.safeNorm(var77);
    var61.setEntry((int)var74, (double)var78);
    int var80 = var61.getMaxIndex();
    org.apache.commons.math.dfp.Dfp var81 = var19.newInstance((int)var80);
    java.lang.Float var82 = new java.lang.Float(100.0f);
    java.lang.Float var83 = new java.lang.Float(0.0f);
    java.lang.Integer var84 = new java.lang.Integer(0);
    boolean var85 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var82, (float)var83, (int)var84);
    org.apache.commons.math.dfp.Dfp var86 = var81.power10K((int)var84);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);

  }

  public void test44() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
    java.lang.String var44 = var43.toString();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test45() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.NullArgumentException with canonical name: org.apache.commons.math.exception.NullArgumentException
    // This behavior will recorded for regression testing.
    try {
      double var3 = var2.evaluate();
      fail("Expected exception of type org.apache.commons.math.exception.NullArgumentException");
    } catch (org.apache.commons.math.exception.NullArgumentException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);

  }

  public void test46() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.RealVector var22 = var19.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.copy();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var6.subtract((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    double var33 = var6.getDistance(var32);
    double var34 = var6.getMinValue();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test47() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(10.0d);
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    int var7 = org.apache.commons.math.util.MathUtils.compareTo((double)var2, (double)var3, (double)var4);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    org.apache.commons.math.linear.RealVector var19 = var12.mapLog10ToSelf();
    java.lang.Double var20 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiplyToSelf((double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.indicator((double)var20);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    double var27 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var20, (double)var24);
    java.lang.Integer var28 = new java.lang.Integer(10);
    java.lang.Integer var29 = new java.lang.Integer(10);
    double var30 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var28, (int)var29);
    java.lang.Integer var31 = new java.lang.Integer(0);
    java.lang.Long var32 = new java.lang.Long(100L);
    int var33 = org.apache.commons.math.util.MathUtils.pow((int)var31, (long)var32);
    double var34 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var29, (int)var31);
    boolean var35 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var4, (double)var24, (int)var31);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var36 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var35);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation.copy(var0, var36);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test48() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.RealVector var22 = var19.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.copy();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var6.subtract((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var35};
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    org.apache.commons.math.linear.OpenMapRealVector var38 = var34.add(var37);
    double var39 = var30.dotProduct(var37);
    org.apache.commons.math.linear.RealVector var40 = var37.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var41 = var37.copy();
    boolean var42 = var19.equals((java.lang.Object)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);

  }

  public void test49() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    org.apache.commons.math.linear.RealVector var12 = var9.mapRintToSelf();
    java.lang.Double var13 = new java.lang.Double(100.0d);
    java.lang.Double var14 = new java.lang.Double(0.0d);
    double[] var15 = new double[] { var13, var14};
    int var16 = org.apache.commons.math.util.MathUtils.hash(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var26.mapPowToSelf((double)var30);
    java.lang.Integer var33 = new java.lang.Integer(10);
    int var34 = org.apache.commons.math.util.MathUtils.indicator((int)var33);
    java.lang.Integer var35 = new java.lang.Integer(10);
    int var36 = org.apache.commons.math.util.MathUtils.indicator((int)var35);
    org.apache.commons.math.linear.RealVector var37 = var26.getSubVector((int)var34, (int)var36);
    double var38 = var26.getL1Norm();
    double[] var39 = var26.getDataRef();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    org.apache.commons.math.linear.RealVector var50 = var44.ebeDivide((org.apache.commons.math.linear.RealVector)var49);
    org.apache.commons.math.linear.RealVector var51 = var49.mapAsinToSelf();
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var57, var58, var59};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var56.ebeDivide((org.apache.commons.math.linear.RealVector)var61);
    org.apache.commons.math.linear.RealVector var63 = var56.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var64 = var49.ebeDivide(var56);
    org.apache.commons.math.linear.RealVector var65 = var49.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var66 = var49.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var67 = var49.mapLogToSelf();
    org.apache.commons.math.linear.RealVector var68 = var26.add(var67);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var9.setSubVector((int)var16, (org.apache.commons.math.linear.RealVector)var26);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);

  }

  public void test50() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    java.lang.Long var18 = new java.lang.Long(100L);
    java.lang.Integer var19 = new java.lang.Integer(0);
    java.lang.Long var20 = new java.lang.Long(100L);
    int var21 = org.apache.commons.math.util.MathUtils.pow((int)var19, (long)var20);
    long var22 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var18, (long)var20);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    long var29 = org.apache.commons.math.util.MathUtils.pow((long)var22, (int)var28);
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var30 = var9.getEntry((int)var28);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test51() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    double[] var9 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var10 = var7.getValue(var9);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test52() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    var5.unitize();
    java.lang.Double var8 = new java.lang.Double(10.0d);
    java.lang.Double var9 = new java.lang.Double(1.0d);
    double[] var10 = new double[] { var8, var9};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var11 = var5.getL1Distance(var10);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test53() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(100.0d);
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(10.0d);
    double[] var4 = new double[] { var1, var2, var3};
    boolean var5 = org.apache.commons.math.util.MathUtils.equals(var0, var4);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test54() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.RealVector var7 = var5.mapAcosToSelf();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(100.0d);
    double[] var10 = new double[] { var8, var9};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var11 = var5.getLInfDistance(var10);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test55() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(100.0d);
    double[] var19 = new double[] { var17, var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var14.append(var19);
    java.lang.Long var21 = new java.lang.Long(100L);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    long var25 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var21, (long)var23);
    java.lang.Integer var26 = new java.lang.Integer(100);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var26, (int)var30);
    long var32 = org.apache.commons.math.util.MathUtils.pow((long)var25, (int)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var37.ebeDivide((org.apache.commons.math.linear.RealVector)var42);
    org.apache.commons.math.linear.RealVector var44 = var37.mapLog10ToSelf();
    java.lang.Double var45 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var46 = var37.mapMultiplyToSelf((double)var45);
    double var47 = org.apache.commons.math.util.MathUtils.indicator((double)var45);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    double var52 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var45, (double)var49);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var20.setEntry((int)var31, (double)var52);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test56() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapSqrtToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    org.apache.commons.math.linear.RealVector var35 = var34.mapExpm1();
    double var36 = var21.getL1Distance(var34);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test57() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var20 = var13.mapLog10ToSelf();
    java.lang.Double var21 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var22 = var13.mapMultiplyToSelf((double)var21);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var23 = var7.subtract((org.apache.commons.math.linear.RealVector)var13);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test58() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(0);
    java.lang.Integer var1 = new java.lang.Integer(1);
    java.lang.Integer var2 = new java.lang.Integer(0);
    int[] var3 = new int[] { var0, var1, var2};
    java.lang.Integer var4 = new java.lang.Integer(100);
    int[] var5 = new int[] { var4};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var6 = org.apache.commons.math.util.MathUtils.distance(var3, var5);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test59() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Integer var11 = new java.lang.Integer(0);
    java.lang.Long var12 = new java.lang.Long(100L);
    int var13 = org.apache.commons.math.util.MathUtils.pow((int)var11, (long)var12);
    var8.setIEEEFlags((int)var11);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test60() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(1.0d);
    double[] var1 = new double[] { var0};
    java.lang.Integer var2 = new java.lang.Integer(10);
    java.lang.Integer var3 = new java.lang.Integer(10);
    double var4 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var2, (int)var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var10, var11, var12};
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var13);
    org.apache.commons.math.linear.RealVector var15 = var9.ebeDivide((org.apache.commons.math.linear.RealVector)var14);
    int var16 = var9.getMaxIndex();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    java.lang.Double var21 = new java.lang.Double(1.0d);
    java.lang.Double var22 = new java.lang.Double(1.0d);
    boolean var23 = org.apache.commons.math.util.MathUtils.equals((double)var21, (double)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var19, (double)var22, (double)var26);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var29 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var16, var28);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var1, var3, var16);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test61() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var25 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = var26.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var26);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    double[] var32 = new double[] { };
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var33, var34, var35};
    double var37 = org.apache.commons.math.util.MathUtils.distanceInf(var32, var36);
    double var38 = var28.evaluate(var31, (double)var37);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var39 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var28};
    var24.setSumImpl(var39);
    double[] var41 = var24.getSum();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);

  }

  public void test62() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    var1.clear();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);

  }

  public void test63() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    org.apache.commons.math.linear.RealVector var29 = var22.mapRintToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    org.apache.commons.math.linear.RealVector var35 = var34.mapExpm1();
    org.apache.commons.math.linear.RealVector var36 = var22.projection(var35);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var37 = var17.getDistance((org.apache.commons.math.linear.RealVector)var22);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test64() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    var27.incrementAll(var31);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var33 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumLogImpl(var33);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var35 = var24.getSumImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test65() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    long var1 = org.apache.commons.math.util.MathUtils.sign((long)var0);

  }

//  public void test66() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(10.0d);
//    java.lang.Double var2 = new java.lang.Double(100.0d);
//    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
//    java.lang.Integer var4 = new java.lang.Integer(0);
//    java.lang.Long var5 = new java.lang.Long(100L);
//    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
//    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
//    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
//    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
//    java.lang.Double var10 = new java.lang.Double((-1.0d));
//    java.lang.Double var11 = new java.lang.Double(10.0d);
//    java.lang.Double var12 = new java.lang.Double(100.0d);
//    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
//    java.lang.Integer var14 = new java.lang.Integer(0);
//    java.lang.Long var15 = new java.lang.Long(100L);
//    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
//    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
//    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
//    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
//    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
//    java.lang.Double var21 = new java.lang.Double((-1.0d));
//    java.lang.Double var22 = new java.lang.Double(10.0d);
//    java.lang.Double var23 = new java.lang.Double(100.0d);
//    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
//    java.lang.Integer var25 = new java.lang.Integer(0);
//    java.lang.Long var26 = new java.lang.Long(100L);
//    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
//    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
//    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
//    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
//    boolean var31 = var19.greaterThan(var30);
//    java.lang.Double var32 = new java.lang.Double((-1.0d));
//    java.lang.Double var33 = new java.lang.Double(10.0d);
//    java.lang.Double var34 = new java.lang.Double(100.0d);
//    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
//    java.lang.Integer var36 = new java.lang.Integer(0);
//    java.lang.Long var37 = new java.lang.Long(100L);
//    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
//    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
//    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
//    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
//    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
//    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
//    java.lang.Double var44 = new java.lang.Double((-1.0d));
//    java.lang.Double var45 = new java.lang.Double(10.0d);
//    java.lang.Double var46 = new java.lang.Double(100.0d);
//    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
//    java.lang.Integer var48 = new java.lang.Integer(0);
//    java.lang.Long var49 = new java.lang.Long(100L);
//    int var50 = org.apache.commons.math.util.MathUtils.pow((int)var48, (long)var49);
//    int var51 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var47, (int)var48);
//    org.apache.commons.math.dfp.DfpField var52 = new org.apache.commons.math.dfp.DfpField(var47);
//    org.apache.commons.math.dfp.Dfp var53 = var52.getOne();
//    java.lang.Double var54 = new java.lang.Double((-1.0d));
//    java.lang.Double var55 = new java.lang.Double(10.0d);
//    java.lang.Double var56 = new java.lang.Double(100.0d);
//    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
//    java.lang.Integer var58 = new java.lang.Integer(0);
//    java.lang.Long var59 = new java.lang.Long(100L);
//    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
//    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
//    org.apache.commons.math.dfp.DfpField var62 = new org.apache.commons.math.dfp.DfpField(var57);
//    org.apache.commons.math.dfp.Dfp var63 = var62.getOne();
//    java.lang.Double var64 = new java.lang.Double((-1.0d));
//    java.lang.Double var65 = new java.lang.Double(10.0d);
//    java.lang.Double var66 = new java.lang.Double(100.0d);
//    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
//    java.lang.Integer var68 = new java.lang.Integer(0);
//    java.lang.Long var69 = new java.lang.Long(100L);
//    int var70 = org.apache.commons.math.util.MathUtils.pow((int)var68, (long)var69);
//    int var71 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var67, (int)var68);
//    org.apache.commons.math.dfp.DfpField var72 = new org.apache.commons.math.dfp.DfpField(var67);
//    org.apache.commons.math.dfp.Dfp var73 = var72.getOne();
//    org.apache.commons.math.dfp.Dfp var74 = var62.newDfp(var73);
//    java.lang.Double var75 = new java.lang.Double((-1.0d));
//    java.lang.Double var76 = new java.lang.Double(10.0d);
//    java.lang.Double var77 = new java.lang.Double(100.0d);
//    int var78 = org.apache.commons.math.util.MathUtils.compareTo((double)var75, (double)var76, (double)var77);
//    java.lang.Integer var79 = new java.lang.Integer(0);
//    java.lang.Long var80 = new java.lang.Long(100L);
//    int var81 = org.apache.commons.math.util.MathUtils.pow((int)var79, (long)var80);
//    int var82 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var78, (int)var79);
//    org.apache.commons.math.dfp.DfpField var83 = new org.apache.commons.math.dfp.DfpField(var78);
//    org.apache.commons.math.dfp.Dfp var84 = var83.getOne();
//    boolean var85 = var73.greaterThan(var84);
//    org.apache.commons.math.dfp.Dfp var86 = var53.remainder(var84);
//    org.apache.commons.math.dfp.Dfp var87 = var19.remainder(var86);
//    
//    // Checks the contract:  var87.equals(var87)
//    assertTrue("Contract failed: var87.equals(var87)", var87.equals(var87));
//
//  }

  public void test67() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double(1.0d);
    java.lang.Double var4 = new java.lang.Double(1.0d);
    boolean var5 = org.apache.commons.math.util.MathUtils.equals((double)var3, (double)var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(10.0d);
    java.lang.Double var8 = new java.lang.Double(100.0d);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    double var10 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var3, (double)var6);
    double[] var11 = org.apache.commons.math.util.MathUtils.normalizeArray(var2, (double)var3);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var3, (double)var17);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test68() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double(1.0d);
    java.lang.Double var4 = new java.lang.Double(1.0d);
    boolean var5 = org.apache.commons.math.util.MathUtils.equals((double)var3, (double)var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(10.0d);
    java.lang.Double var8 = new java.lang.Double(100.0d);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    double var10 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var3, (double)var6);
    double[] var11 = org.apache.commons.math.util.MathUtils.normalizeArray(var2, (double)var3);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var3, (double)var17);
    java.lang.Double[] var25 = new java.lang.Double[] { var3};
    java.lang.Integer var26 = new java.lang.Integer(10);
    java.lang.Integer var27 = new java.lang.Integer(10);
    double var28 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var26, (int)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    double var32 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var27, (int)var29);
    java.lang.Integer var33 = new java.lang.Integer(100);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    java.lang.Integer var38 = new java.lang.Integer(0);
    java.lang.Long var39 = new java.lang.Long(100L);
    int var40 = org.apache.commons.math.util.MathUtils.pow((int)var38, (long)var39);
    int var41 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var37, (int)var38);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var33, (int)var37);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var25, var27, var42);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);

  }

  public void test69() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(10.0d);
    java.lang.Double var9 = new java.lang.Double(100.0d);
    int var10 = org.apache.commons.math.util.MathUtils.compareTo((double)var7, (double)var8, (double)var9);
    java.lang.Integer var11 = new java.lang.Integer(0);
    java.lang.Long var12 = new java.lang.Long(100L);
    int var13 = org.apache.commons.math.util.MathUtils.pow((int)var11, (long)var12);
    int var14 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var10, (int)var11);
    org.apache.commons.math.dfp.DfpField var15 = new org.apache.commons.math.dfp.DfpField(var10);
    org.apache.commons.math.dfp.Dfp var16 = var15.getOne();
    int var17 = var15.getRadixDigits();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    int var25 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var21, (int)var22);
    org.apache.commons.math.dfp.DfpField var26 = new org.apache.commons.math.dfp.DfpField(var21);
    org.apache.commons.math.dfp.Dfp var27 = var26.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var28 = var26.getRoundingMode();
    var15.setRoundingMode(var28);
    int var30 = var15.getIEEEFlags();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    org.apache.commons.math.linear.OpenMapRealVector var37 = var33.add(var36);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var6.setSubVector((int)var30, (org.apache.commons.math.linear.RealVector)var33);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test70() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var6);
    java.util.Iterator var9 = var6.sparseIterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test71() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Float var3 = new java.lang.Float(1.0f);
    java.lang.Float var4 = new java.lang.Float(0.0f);
    boolean var5 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var3, (float)var4);
    java.lang.Float var6 = new java.lang.Float(1.0f);
    java.lang.Float var7 = new java.lang.Float(100.0f);
    java.lang.Float var8 = new java.lang.Float(0.0f);
    java.lang.Integer var9 = new java.lang.Integer(0);
    boolean var10 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var8, (int)var9);
    boolean var11 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var8);
    java.lang.Float var12 = new java.lang.Float(0.0f);
    java.lang.Float var13 = new java.lang.Float((-1.0f));
    boolean var14 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var12, (float)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    float var18 = org.apache.commons.math.util.MathUtils.round((float)var12, (int)var15);
    java.lang.Float var19 = new java.lang.Float(0.0f);
    java.lang.Float var20 = new java.lang.Float((-1.0f));
    boolean var21 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var19, (float)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    float var25 = org.apache.commons.math.util.MathUtils.round((float)var19, (int)var22);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    int var37 = var30.getMaxIndex();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    java.lang.Double var43 = new java.lang.Double(1.0d);
    boolean var44 = org.apache.commons.math.util.MathUtils.equals((double)var42, (double)var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    boolean var49 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var40, (double)var43, (double)var47);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var50 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var37, var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var18, (float)var19, (int)var37);
    java.lang.Float var52 = new java.lang.Float(1.0f);
    java.lang.Float var53 = new java.lang.Float(100.0f);
    java.lang.Float var54 = new java.lang.Float(0.0f);
    java.lang.Integer var55 = new java.lang.Integer(0);
    boolean var56 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var53, (float)var54, (int)var55);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((float)var52, (float)var54);
    boolean var58 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var18, (float)var52);
    java.lang.Float var59 = new java.lang.Float(100.0f);
    java.lang.Float var60 = new java.lang.Float(0.0f);
    java.lang.Integer var61 = new java.lang.Integer(0);
    boolean var62 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var59, (float)var60, (int)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var18, (float)var60);
    org.apache.commons.math.complex.ComplexField var64 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var65 = var64.getZero();
    double var66 = var65.getArgument();
    double var67 = var65.abs();
    java.lang.Long var68 = new java.lang.Long(100L);
    java.lang.Integer var69 = new java.lang.Integer(0);
    java.lang.Long var70 = new java.lang.Long(100L);
    int var71 = org.apache.commons.math.util.MathUtils.pow((int)var69, (long)var70);
    long var72 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var68, (long)var70);
    java.lang.Integer var73 = new java.lang.Integer(100);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double(10.0d);
    java.lang.Double var76 = new java.lang.Double(100.0d);
    int var77 = org.apache.commons.math.util.MathUtils.compareTo((double)var74, (double)var75, (double)var76);
    int var78 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var73, (int)var77);
    long var79 = org.apache.commons.math.util.MathUtils.pow((long)var72, (int)var78);
    double var80 = org.apache.commons.math.util.MathUtils.scalb((double)var67, (int)var78);
    boolean var81 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var3, (float)var60, (int)var78);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);

  }

  public void test72() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.ArrayRealVector var40 = var21.add(var33);
    org.apache.commons.math.linear.ArrayRealVector var41 = var9.ebeDivide(var33);
    org.apache.commons.math.linear.RealVector var42 = var33.mapTanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test73() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.RealVector var7 = var5.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var8 = var5.mapExpm1ToSelf();
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(10.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var13 = var5.projection(var12);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test74() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    double var8 = org.apache.commons.math.util.MathUtils.factorialLog((int)var7);
    double var9 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var7);

  }

  public void test75() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    java.lang.Double var32 = new java.lang.Double(10.0d);
    double[] var33 = new double[] { var31, var32};
    double var34 = org.apache.commons.math.util.MathUtils.safeNorm(var33);
    var17.setEntry((int)var30, (double)var34);
    int var36 = var17.getMaxIndex();
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    org.apache.commons.math.linear.RealVector var47 = var41.ebeDivide((org.apache.commons.math.linear.RealVector)var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    org.apache.commons.math.linear.RealVector var52 = var46.mapPowToSelf((double)var50);
    java.lang.Integer var53 = new java.lang.Integer(10);
    int var54 = org.apache.commons.math.util.MathUtils.indicator((int)var53);
    java.lang.Integer var55 = new java.lang.Integer(10);
    int var56 = org.apache.commons.math.util.MathUtils.indicator((int)var55);
    org.apache.commons.math.linear.RealVector var57 = var46.getSubVector((int)var54, (int)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(0.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var63, var64, var65};
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var66);
    org.apache.commons.math.linear.RealVector var68 = var62.ebeDivide((org.apache.commons.math.linear.RealVector)var67);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    double[] var72 = new double[] { var69, var70, var71};
    double var73 = var67.getL1Distance(var72);
    org.apache.commons.math.linear.RealVector var74 = var67.mapSignum();
    java.lang.Double var75 = new java.lang.Double(0.0d);
    java.lang.Double var76 = new java.lang.Double(100.0d);
    java.lang.Double var77 = new java.lang.Double(10.0d);
    double[] var78 = new double[] { var75, var76, var77};
    double var79 = var67.getDistance(var78);
    double var80 = var46.getDistance(var67);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var81 = var17.dotProduct(var67);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);

  }

  public void test76() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var13 = var9.add(var12);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test77() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var30 = var21.mapFloor();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

//  public void test78() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    org.apache.commons.math.complex.Complex var2 = var1.sinh();
//    org.apache.commons.math.complex.ComplexField var3 = var1.getField();
//    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var5 = var4.getZero();
//    org.apache.commons.math.complex.Complex var6 = var5.sinh();
//    org.apache.commons.math.complex.Complex var7 = var1.add(var6);
//    org.apache.commons.math.complex.Complex var8 = var6.asin();
//    
//    // Checks the contract:  equals-hashcode on var1 and var8
//    assertTrue("Contract failed: equals-hashcode on var1 and var8", var1.equals(var8) ? var1.hashCode() == var8.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var2 and var8
//    assertTrue("Contract failed: equals-hashcode on var2 and var8", var2.equals(var8) ? var2.hashCode() == var8.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var5 and var8
//    assertTrue("Contract failed: equals-hashcode on var5 and var8", var5.equals(var8) ? var5.hashCode() == var8.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var6 and var8
//    assertTrue("Contract failed: equals-hashcode on var6 and var8", var6.equals(var8) ? var6.hashCode() == var8.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var7 and var8
//    assertTrue("Contract failed: equals-hashcode on var7 and var8", var7.equals(var8) ? var7.hashCode() == var8.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var8 and var1
//    assertTrue("Contract failed: equals-hashcode on var8 and var1", var8.equals(var1) ? var8.hashCode() == var1.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var8 and var2
//    assertTrue("Contract failed: equals-hashcode on var8 and var2", var8.equals(var2) ? var8.hashCode() == var2.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var8 and var5
//    assertTrue("Contract failed: equals-hashcode on var8 and var5", var8.equals(var5) ? var8.hashCode() == var5.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var8 and var6
//    assertTrue("Contract failed: equals-hashcode on var8 and var6", var8.equals(var6) ? var8.hashCode() == var6.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var8 and var7
//    assertTrue("Contract failed: equals-hashcode on var8 and var7", var8.equals(var7) ? var8.hashCode() == var7.hashCode() : true);
//
//  }

  public void test79() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    java.lang.Double var21 = new java.lang.Double(0.0d);
    double[] var22 = new double[] { var21};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var23 = var18.getDistance(var22);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test80() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var4, var5};
    org.apache.commons.math.linear.RealVector var7 = var2.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    java.lang.Double var11 = new java.lang.Double(1.0d);
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var10, var14);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var16 = var2.dotProduct((org.apache.commons.math.linear.RealVector)var15);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test81() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapSinhToSelf();
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    org.apache.commons.math.linear.RealVector var23 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var22);
    org.apache.commons.math.linear.RealVector var24 = var22.mapAsinToSelf();
    double var25 = var22.getLInfNorm();
    var4.set((double)var25);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test82() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var6);
    org.apache.commons.math.linear.RealVector var9 = var6.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test83() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    org.apache.commons.math.linear.RealVector var36 = var30.mapPowToSelf((double)var34);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var37 = var20.dotProduct((org.apache.commons.math.linear.RealVector)var30);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test84() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var25 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test85() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    org.apache.commons.math.complex.ComplexField var35 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var36 = var35.getZero();
    double var37 = var36.getArgument();
    double var38 = var36.abs();
    org.apache.commons.math.linear.RealVector var39 = var4.mapMultiplyToSelf((double)var38);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test86() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    java.lang.Double var24 = new java.lang.Double(1.0d);
    boolean var25 = org.apache.commons.math.util.MathUtils.equals((double)var23, (double)var24);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    org.apache.commons.math.linear.RealVector var38 = var31.mapLog10ToSelf();
    java.lang.Double var39 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiplyToSelf((double)var39);
    double var41 = org.apache.commons.math.util.MathUtils.indicator((double)var39);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    double var46 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var39, (double)var43);
    java.lang.Integer var47 = new java.lang.Integer(10);
    java.lang.Integer var48 = new java.lang.Integer(10);
    double var49 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var47, (int)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    double var53 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var48, (int)var50);
    boolean var54 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var23, (double)var43, (int)var50);
    org.apache.commons.math.linear.RealVector var55 = var20.mapMultiplyToSelf((double)var23);
    org.apache.commons.math.linear.RealVector var56 = var20.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);

  }

  public void test87() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(100.0d);
    double[] var19 = new double[] { var17, var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var14.append(var19);
    org.apache.commons.math.linear.RealVector var21 = var14.mapUlpToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test88() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.gcd((int)var22, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.linear.RealVector var52 = var33.append((double)var45);
    org.apache.commons.math.linear.RealVector var53 = var33.mapAcos();
    double[] var54 = var33.toArray();
    java.lang.Double var55 = new java.lang.Double(1.0d);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((double)var55, (double)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    double var62 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var55, (double)var58);
    org.apache.commons.math.linear.RealVector var63 = var33.mapMultiplyToSelf((double)var62);
    org.apache.commons.math.linear.RealVector var64 = var33.mapSqrtToSelf();
    var9.set((int)var28, var33);
    double var66 = var9.getLInfNorm();
    org.apache.commons.math.linear.RealVector var67 = var9.mapInv();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);

  }

  public void test89() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    java.lang.Integer var1 = new java.lang.Integer(0);
    java.lang.Long var2 = new java.lang.Long(100L);
    int var3 = org.apache.commons.math.util.MathUtils.pow((int)var1, (long)var2);
    long var4 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var0, (long)var2);
    java.lang.Integer var5 = new java.lang.Integer(100);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(10.0d);
    java.lang.Double var8 = new java.lang.Double(100.0d);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    int var10 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var5, (int)var9);
    long var11 = org.apache.commons.math.util.MathUtils.pow((long)var4, (int)var10);
    long var12 = org.apache.commons.math.util.MathUtils.indicator((long)var4);

  }

  public void test90() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(1.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    double[] var3 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var4 = org.apache.commons.math.util.MathUtils.distanceInf(var2, var3);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test91() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    org.apache.commons.math.linear.RealVector var34 = var28.ebeDivide((org.apache.commons.math.linear.RealVector)var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.linear.RealVector var39 = var33.mapPowToSelf((double)var37);
    java.lang.Double[] var40 = new java.lang.Double[] { var37};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var41.mapCbrtToSelf();
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    int var53 = org.apache.commons.math.util.MathUtils.gcd((int)var47, (int)var52);
    int var54 = org.apache.commons.math.util.MathUtils.sign((int)var53);
    java.lang.Double var55 = new java.lang.Double(100.0d);
    java.lang.Double var56 = new java.lang.Double(10.0d);
    double[] var57 = new double[] { var55, var56};
    double var58 = org.apache.commons.math.util.MathUtils.safeNorm(var57);
    var41.setEntry((int)var54, (double)var58);
    org.apache.commons.math.linear.RealVector var60 = var4.mapSubtractToSelf((double)var58);
    java.lang.Double var61 = new java.lang.Double(0.0d);
    double[] var62 = new double[] { var61};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var63 = var4.ebeDivide(var62);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test92() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var20.append((double)var34);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var42};
    org.apache.commons.math.linear.OpenMapRealVector var44 = new org.apache.commons.math.linear.OpenMapRealVector(var43);
    org.apache.commons.math.linear.OpenMapRealVector var45 = var41.add(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    boolean var47 = var46.isNaN();
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var48, var49};
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var55 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var50, var52);
    org.apache.commons.math.linear.RealVector var56 = var46.mapDivideToSelf((double)var52);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var57 = var20.getDistance((org.apache.commons.math.linear.RealVector)var46);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);

  }

  public void test93() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(100.0d);
    double[] var19 = new double[] { var17, var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var14.append(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    org.apache.commons.math.linear.RealVector var44 = var38.mapPowToSelf((double)var42);
    java.lang.Double[] var45 = new java.lang.Double[] { var42};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    org.apache.commons.math.linear.RealVector var47 = var46.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var48 = var46.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var49 = var28.projection(var48);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var50 = var20.subtract(var28);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);

  }

  public void test94() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    double[] var4 = new double[] { var2, var3};
    java.lang.Integer var5 = new java.lang.Integer(10);
    int var6 = org.apache.commons.math.util.MathUtils.indicator((int)var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(10.0d);
    java.lang.Double var9 = new java.lang.Double(100.0d);
    int var10 = org.apache.commons.math.util.MathUtils.compareTo((double)var7, (double)var8, (double)var9);
    java.lang.Integer var11 = new java.lang.Integer(0);
    java.lang.Long var12 = new java.lang.Long(100L);
    int var13 = org.apache.commons.math.util.MathUtils.pow((int)var11, (long)var12);
    int var14 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var10, (int)var11);
    org.apache.commons.math.dfp.DfpField var15 = new org.apache.commons.math.dfp.DfpField(var10);
    org.apache.commons.math.dfp.Dfp var16 = var15.getOne();
    int var17 = var16.log10K();
    int var18 = org.apache.commons.math.util.MathUtils.indicator((int)var17);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      var1.incrementAll(var4, (int)var5, (int)var18);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test95() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(10);
    java.lang.Integer var1 = new java.lang.Integer(10);
    double var2 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var0, (int)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    double var6 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var1, (int)var3);
    long var7 = org.apache.commons.math.util.MathUtils.factorial((int)var1);
    java.lang.Long var8 = new java.lang.Long((-1L));
    java.lang.Long var9 = new java.lang.Long(0L);
    long var10 = org.apache.commons.math.util.MathUtils.pow((long)var8, (long)var9);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      long var11 = org.apache.commons.math.util.MathUtils.pow((long)var7, (long)var8);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }

  }

  public void test96() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(10.0f);
    java.lang.Float var1 = new java.lang.Float(10.0f);
    double[] var2 = new double[] { };
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var3, var4, var5};
    double var7 = org.apache.commons.math.util.MathUtils.distanceInf(var2, var6);
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    org.apache.commons.math.complex.Complex var12 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var7, (double)var8);
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var13, var14};
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    double var23 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var16, (double)var19);
    double[] var24 = org.apache.commons.math.util.MathUtils.normalizeArray(var15, (double)var16);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    java.lang.Integer var28 = new java.lang.Integer(100);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var28, (int)var32);
    java.lang.Integer var34 = new java.lang.Integer(100);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    int var39 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var34, (int)var38);
    int var40 = org.apache.commons.math.util.MathUtils.lcm((int)var32, (int)var39);
    int var41 = org.apache.commons.math.util.MathUtils.lcm((int)var25, (int)var39);
    boolean var42 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var7, (double)var16, (int)var39);
    boolean var43 = org.apache.commons.math.util.MathUtils.equals((float)var0, (float)var1, (int)var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test97() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    double var19 = var18.getL1Norm();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test98() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    double var19 = var13.getL1Distance(var18);
    org.apache.commons.math.linear.RealVector var20 = var13.mapSignum();
    java.lang.String var21 = var13.toString();
    boolean var22 = var13.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var3, var22);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test99() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapSin();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.RealVector var45 = var38.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var46 = var38.mapInvToSelf();
    double var47 = var9.getL1Distance(var46);
    org.apache.commons.math.linear.RealVector var48 = var9.mapInvToSelf();
    java.lang.Double var49 = new java.lang.Double(100.0d);
    double[] var50 = new double[] { var49};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var51 = var9.projection(var50);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test100() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    double var51 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var44, (double)var47);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var57, var58, var59};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var56.ebeDivide((org.apache.commons.math.linear.RealVector)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    boolean var74 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var65, (double)var68, (double)var72);
    org.apache.commons.math.linear.RealVector var75 = var56.append((double)var68);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(10.0d);
    java.lang.Double var78 = new java.lang.Double(100.0d);
    int var79 = org.apache.commons.math.util.MathUtils.compareTo((double)var76, (double)var77, (double)var78);
    java.lang.Integer var80 = new java.lang.Integer(0);
    java.lang.Long var81 = new java.lang.Long(100L);
    int var82 = org.apache.commons.math.util.MathUtils.pow((int)var80, (long)var81);
    int var83 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var79, (int)var80);
    boolean var84 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var51, (double)var68, (int)var80);
    java.lang.Double var85 = new java.lang.Double((-1.0d));
    java.lang.Double var86 = new java.lang.Double(0.0d);
    java.lang.Double var87 = new java.lang.Double((-1.0d));
    double[] var88 = new double[] { var85, var86, var87};
    org.apache.commons.math.linear.ArrayRealVector var89 = new org.apache.commons.math.linear.ArrayRealVector(var88);
    java.lang.Double var90 = new java.lang.Double(1.0d);
    java.lang.Double var91 = new java.lang.Double(1.0d);
    boolean var92 = org.apache.commons.math.util.MathUtils.equals((double)var90, (double)var91);
    org.apache.commons.math.linear.RealVector var93 = var89.mapDivide((double)var91);
    var9.setEntry((int)var80, (double)var91);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);

  }

  public void test101() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.ArrayRealVector var40 = var21.add(var33);
    org.apache.commons.math.linear.ArrayRealVector var41 = var9.ebeDivide(var33);
    org.apache.commons.math.linear.RealVector var42 = var9.mapRintToSelf();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var43 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var44 = var43.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var45 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var43);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(1.0d);
    java.lang.Double var48 = new java.lang.Double(1.0d);
    double[] var49 = new double[] { var46, var47, var48};
    java.lang.Integer var50 = new java.lang.Integer(10);
    int var51 = org.apache.commons.math.util.MathUtils.indicator((int)var50);
    java.lang.Integer var52 = new java.lang.Integer(100);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(10.0d);
    java.lang.Double var55 = new java.lang.Double(100.0d);
    int var56 = org.apache.commons.math.util.MathUtils.compareTo((double)var53, (double)var54, (double)var55);
    int var57 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var52, (int)var56);
    java.lang.Integer var58 = new java.lang.Integer(100);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    int var63 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var58, (int)var62);
    int var64 = org.apache.commons.math.util.MathUtils.lcm((int)var56, (int)var63);
    var43.setData(var49, (int)var51, (int)var64);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    double[] var67 = new double[] { var66};
    org.apache.commons.math.linear.OpenMapRealVector var68 = new org.apache.commons.math.linear.OpenMapRealVector(var67);
    org.apache.commons.math.linear.OpenMapRealVector var69 = var68.unitVector();
    var9.setSubVector((int)var64, (org.apache.commons.math.linear.RealVector)var69);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);

  }

  public void test102() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
    boolean var44 = var19.isInfinite();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test103() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    double[] var23 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealMatrix var24 = var22.outerProduct(var23);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);

  }

  public void test104() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    org.apache.commons.math.linear.RealVector var17 = var5.mapSinhToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(0.0d);
    double[] var22 = new double[] { var19, var20, var21};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var23 = var5.getDistance(var22);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

//  public void test105() throws Throwable {
//
//    double[] var0 = new double[] { };
//    java.lang.Double var1 = new java.lang.Double(0.0d);
//    java.lang.Double var2 = new java.lang.Double((-1.0d));
//    java.lang.Double var3 = new java.lang.Double(0.0d);
//    double[] var4 = new double[] { var1, var2, var3};
//    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
//    java.lang.Double var6 = new java.lang.Double(0.0d);
//    java.lang.Double var7 = new java.lang.Double((-1.0d));
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
//    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
//    org.apache.commons.math.complex.Complex var11 = var10.cos();
//    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var13 = var12.getZero();
//    double var14 = var13.getArgument();
//    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
//    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var17 = var16.getZero();
//    double var18 = var17.getArgument();
//    org.apache.commons.math.complex.Complex var19 = var13.pow(var17);
//    org.apache.commons.math.complex.Complex var20 = var13.cosh();
//    
//    // Checks the contract:  equals-hashcode on var11 and var20
//    assertTrue("Contract failed: equals-hashcode on var11 and var20", var11.equals(var20) ? var11.hashCode() == var20.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var20 and var11
//    assertTrue("Contract failed: equals-hashcode on var20 and var11", var20.equals(var11) ? var20.hashCode() == var11.hashCode() : true);
//
//  }

  public void test106() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    java.lang.Double var4 = new java.lang.Double(0.0d);
    double[] var5 = new double[] { var3, var4};
    double[] var6 = new double[] { };
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var7, var8, var9};
    double var11 = org.apache.commons.math.util.MathUtils.distanceInf(var6, var10);
    double var12 = var2.evaluate(var5, (double)var11);
    java.lang.Double var13 = new java.lang.Double(10.0d);
    double[] var14 = new double[] { var13};
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    org.apache.commons.math.linear.RealVector var25 = var19.ebeDivide((org.apache.commons.math.linear.RealVector)var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var30 = var24.mapPowToSelf((double)var28);
    java.lang.Double[] var31 = new java.lang.Double[] { var28};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var32.mapCbrtToSelf();
    java.lang.Integer var34 = new java.lang.Integer(100);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    int var39 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var34, (int)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    int var44 = org.apache.commons.math.util.MathUtils.gcd((int)var38, (int)var43);
    int var45 = org.apache.commons.math.util.MathUtils.sign((int)var44);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    java.lang.Double var47 = new java.lang.Double(10.0d);
    double[] var48 = new double[] { var46, var47};
    double var49 = org.apache.commons.math.util.MathUtils.safeNorm(var48);
    var32.setEntry((int)var45, (double)var49);
    int var51 = var32.getMaxIndex();
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.subAndCheck((int)var51, (int)var55);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    java.lang.Double var58 = new java.lang.Double(1.0d);
    boolean var59 = org.apache.commons.math.util.MathUtils.equals((double)var57, (double)var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(10.0d);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    int var63 = org.apache.commons.math.util.MathUtils.compareTo((double)var60, (double)var61, (double)var62);
    double var64 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var57, (double)var60);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var73);
    org.apache.commons.math.linear.RealVector var75 = var69.ebeDivide((org.apache.commons.math.linear.RealVector)var74);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(10.0d);
    java.lang.Double var78 = new java.lang.Double(100.0d);
    int var79 = org.apache.commons.math.util.MathUtils.compareTo((double)var76, (double)var77, (double)var78);
    java.lang.Double var80 = new java.lang.Double(1.0d);
    java.lang.Double var81 = new java.lang.Double(1.0d);
    boolean var82 = org.apache.commons.math.util.MathUtils.equals((double)var80, (double)var81);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    boolean var87 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var78, (double)var81, (double)var85);
    org.apache.commons.math.linear.RealVector var88 = var69.append((double)var81);
    java.lang.Double var89 = new java.lang.Double((-1.0d));
    java.lang.Double var90 = new java.lang.Double(10.0d);
    java.lang.Double var91 = new java.lang.Double(100.0d);
    int var92 = org.apache.commons.math.util.MathUtils.compareTo((double)var89, (double)var90, (double)var91);
    java.lang.Integer var93 = new java.lang.Integer(0);
    java.lang.Long var94 = new java.lang.Long(100L);
    int var95 = org.apache.commons.math.util.MathUtils.pow((int)var93, (long)var94);
    int var96 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var92, (int)var93);
    boolean var97 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var64, (double)var81, (int)var93);
    var2.setData(var14, (int)var56, (int)var93);
    boolean var99 = var2.isBiasCorrected();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);

  }

  public void test107() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(1);
    java.lang.Integer var1 = new java.lang.Integer(0);
    java.lang.Long var2 = new java.lang.Long(100L);
    int var3 = org.apache.commons.math.util.MathUtils.pow((int)var1, (long)var2);
    java.lang.Integer var4 = new java.lang.Integer(100);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(10.0d);
    java.lang.Double var7 = new java.lang.Double(100.0d);
    int var8 = org.apache.commons.math.util.MathUtils.compareTo((double)var5, (double)var6, (double)var7);
    int var9 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var4, (int)var8);
    java.lang.Integer var10 = new java.lang.Integer(100);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    int var15 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var10, (int)var14);
    int var16 = org.apache.commons.math.util.MathUtils.lcm((int)var8, (int)var15);
    int var17 = org.apache.commons.math.util.MathUtils.lcm((int)var1, (int)var15);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var18 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var0, (int)var15);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }

  }

  public void test108() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    double var21 = var9.getL1Norm();
    double[] var22 = var9.getDataRef();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var27.ebeDivide((org.apache.commons.math.linear.RealVector)var32);
    org.apache.commons.math.linear.RealVector var34 = var32.mapAsinToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var39.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    org.apache.commons.math.linear.RealVector var46 = var39.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var47 = var32.ebeDivide(var39);
    org.apache.commons.math.linear.RealVector var48 = var32.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var49 = var32.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var50 = var32.mapLogToSelf();
    org.apache.commons.math.linear.RealVector var51 = var9.add(var50);
    double[] var52 = var9.getDataRef();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test109() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.complex.ComplexField var7 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var8 = var7.getZero();
    org.apache.commons.math.complex.Complex var9 = var8.sinh();
    double var10 = var8.getImaginary();
    double var11 = org.apache.commons.math.util.MathUtils.indicator((double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    java.lang.Double var24 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var25 = var16.mapMultiplyToSelf((double)var24);
    double var26 = org.apache.commons.math.util.MathUtils.indicator((double)var24);
    java.lang.Double var27 = new java.lang.Double(0.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var10, (double)var26, (double)var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 = var6.mapAdd((double)var27);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = var32.add(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    org.apache.commons.math.linear.OpenMapRealVector var43 = var39.add(var42);
    double var44 = var35.dotProduct(var42);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    java.lang.Double var46 = new java.lang.Double(1.0d);
    boolean var47 = org.apache.commons.math.util.MathUtils.equals((double)var45, (double)var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    double var52 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var45, (double)var48);
    var42.set((double)var48);
    org.apache.commons.math.linear.OpenMapRealVector var54 = var29.append(var42);
    org.apache.commons.math.linear.RealVector var55 = var54.mapAtan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);

  }

  public void test110() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    double[] var25 = var9.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.RealVector var30 = var9.append(var29);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

//  public void test111() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    double[] var1 = new double[] { var0};
//    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
//    int var3 = var2.getDimension();
//    java.lang.Double var4 = new java.lang.Double((-1.0d));
//    java.lang.Double var5 = new java.lang.Double(0.0d);
//    java.lang.Double var6 = new java.lang.Double((-1.0d));
//    double[] var7 = new double[] { var4, var5, var6};
//    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
//    java.lang.Double var9 = new java.lang.Double((-1.0d));
//    java.lang.Double var10 = new java.lang.Double(0.0d);
//    java.lang.Double var11 = new java.lang.Double((-1.0d));
//    double[] var12 = new double[] { var9, var10, var11};
//    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
//    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
//    java.lang.Double var15 = new java.lang.Double((-1.0d));
//    java.lang.Double var16 = new java.lang.Double(10.0d);
//    java.lang.Double var17 = new java.lang.Double(100.0d);
//    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
//    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
//    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
//    java.lang.Double var21 = new java.lang.Double((-1.0d));
//    double[] var22 = new double[] { var21};
//    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
//    java.lang.Double var24 = new java.lang.Double((-1.0d));
//    double[] var25 = new double[] { var24};
//    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
//    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
//    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
//    java.lang.Double var29 = new java.lang.Double((-1.0d));
//    java.lang.Double var30 = new java.lang.Double(0.0d);
//    java.lang.Double var31 = new java.lang.Double((-1.0d));
//    double[] var32 = new double[] { var29, var30, var31};
//    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
//    java.lang.Double var34 = new java.lang.Double((-1.0d));
//    java.lang.Double var35 = new java.lang.Double(0.0d);
//    java.lang.Double var36 = new java.lang.Double((-1.0d));
//    double[] var37 = new double[] { var34, var35, var36};
//    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
//    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
//    java.lang.Double var40 = new java.lang.Double(0.0d);
//    java.lang.Double var41 = new java.lang.Double((-1.0d));
//    java.lang.Double var42 = new java.lang.Double((-1.0d));
//    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
//    org.apache.commons.math.linear.RealVector var44 = var33.mapDivide((double)var41);
//    org.apache.commons.math.linear.RealVector var45 = var28.mapSubtractToSelf((double)var41);
//    org.apache.commons.math.linear.RealVector var46 = var20.projection(var45);
//    
//    // Checks the contract:  equals-hashcode on var19 and var44
//    assertTrue("Contract failed: equals-hashcode on var19 and var44", var19.equals(var44) ? var19.hashCode() == var44.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var44 and var19
//    assertTrue("Contract failed: equals-hashcode on var44 and var19", var44.equals(var19) ? var44.hashCode() == var19.hashCode() : true);
//
//  }

  public void test112() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    org.apache.commons.math.linear.RealVector var24 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(1.0d);
    boolean var31 = org.apache.commons.math.util.MathUtils.equals((double)var29, (double)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    boolean var36 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var27, (double)var30, (double)var34);
    org.apache.commons.math.linear.RealVector var37 = var18.append((double)var30);
    org.apache.commons.math.linear.RealVector var38 = var4.mapAddToSelf((double)var30);
    org.apache.commons.math.linear.RealVector var39 = var4.mapTanhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test113() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var6);
    org.apache.commons.math.linear.RealVector var9 = var6.mapSinhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test114() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    org.apache.commons.math.linear.RealVector var4 = var2.mapCosToSelf();
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    java.lang.Integer var8 = new java.lang.Integer(100);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(10.0d);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    int var13 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var8, (int)var12);
    java.lang.Integer var14 = new java.lang.Integer(100);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    int var19 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var14, (int)var18);
    int var20 = org.apache.commons.math.util.MathUtils.lcm((int)var12, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var5, (int)var19);
    java.lang.Integer var22 = new java.lang.Integer(10);
    java.lang.Integer var23 = new java.lang.Integer(10);
    double var24 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var22, (int)var23);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var25 = var2.getSubVector((int)var19, (int)var22);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test115() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var10 = var7.mapCos();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    org.apache.commons.math.linear.OpenMapRealVector var24 = var20.add(var23);
    double var25 = var16.dotProduct(var23);
    org.apache.commons.math.linear.RealVector var26 = var23.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.copy();
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var23.mapMultiply((double)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    double var47 = var38.dotProduct(var45);
    org.apache.commons.math.linear.RealVector var48 = var23.mapMultiplyToSelf((double)var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var7.append(var48);
    double[] var50 = var7.getData();
    java.lang.Integer var51 = new java.lang.Integer(100);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var51, (int)var55);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      double var57 = var7.getEntry((int)var56);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test116() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMaxImpl();
    double[] var28 = var24.getSumSq();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var29 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var30 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var29};
    var24.setSumLogImpl(var30);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var32 = var24.getGeoMeanImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test117() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector((org.apache.commons.math.linear.RealVector)var17);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

//  public void test118() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(10.0d);
//    java.lang.Double var2 = new java.lang.Double(100.0d);
//    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
//    java.lang.Integer var4 = new java.lang.Integer(0);
//    java.lang.Long var5 = new java.lang.Long(100L);
//    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
//    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
//    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
//    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
//    java.lang.Double var10 = new java.lang.Double((-1.0d));
//    java.lang.Double var11 = new java.lang.Double(10.0d);
//    java.lang.Double var12 = new java.lang.Double(100.0d);
//    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
//    java.lang.Integer var14 = new java.lang.Integer(0);
//    java.lang.Long var15 = new java.lang.Long(100L);
//    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
//    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
//    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
//    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
//    java.lang.Double var20 = new java.lang.Double((-1.0d));
//    java.lang.Double var21 = new java.lang.Double(10.0d);
//    java.lang.Double var22 = new java.lang.Double(100.0d);
//    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
//    java.lang.Integer var24 = new java.lang.Integer(0);
//    java.lang.Long var25 = new java.lang.Long(100L);
//    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
//    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
//    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
//    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
//    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
//    java.lang.Double var31 = new java.lang.Double((-1.0d));
//    java.lang.Double var32 = new java.lang.Double(10.0d);
//    java.lang.Double var33 = new java.lang.Double(100.0d);
//    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
//    java.lang.Integer var35 = new java.lang.Integer(0);
//    java.lang.Long var36 = new java.lang.Long(100L);
//    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
//    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
//    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
//    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
//    boolean var41 = var29.greaterThan(var40);
//    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
//    org.apache.commons.math.dfp.Dfp var43 = new org.apache.commons.math.dfp.Dfp(var42);
//    org.apache.commons.math.dfp.Dfp var44 = org.apache.commons.math.dfp.DfpMath.log(var43);
//    
//    // Checks the contract:  var44.equals(var44)
//    assertTrue("Contract failed: var44.equals(var44)", var44.equals(var44));
//
//  }

  public void test119() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapAsinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test120() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = var30.sqrt();
    org.apache.commons.math.dfp.Dfp var40 = org.apache.commons.math.dfp.DfpMath.cos(var30);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

//  public void test121() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    org.apache.commons.math.complex.Complex var2 = var1.sinh();
//    double var3 = var1.getImaginary();
//    org.apache.commons.math.complex.Complex var4 = var1.asin();
//    
//    // Checks the contract:  equals-hashcode on var1 and var4
//    assertTrue("Contract failed: equals-hashcode on var1 and var4", var1.equals(var4) ? var1.hashCode() == var4.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var2 and var4
//    assertTrue("Contract failed: equals-hashcode on var2 and var4", var2.equals(var4) ? var2.hashCode() == var4.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var4 and var1
//    assertTrue("Contract failed: equals-hashcode on var4 and var1", var4.equals(var1) ? var4.hashCode() == var1.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var4 and var2
//    assertTrue("Contract failed: equals-hashcode on var4 and var2", var4.equals(var2) ? var4.hashCode() == var2.hashCode() : true);
//
//  }

  public void test122() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var9.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test123() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    float var6 = org.apache.commons.math.util.MathUtils.round((float)var0, (int)var3);
    java.lang.Float var7 = new java.lang.Float(0.0f);
    java.lang.Float var8 = new java.lang.Float((-1.0f));
    boolean var9 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var8);
    java.lang.Integer var10 = new java.lang.Integer(0);
    java.lang.Long var11 = new java.lang.Long(100L);
    int var12 = org.apache.commons.math.util.MathUtils.pow((int)var10, (long)var11);
    float var13 = org.apache.commons.math.util.MathUtils.round((float)var7, (int)var10);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    org.apache.commons.math.linear.RealVector var24 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var23);
    int var25 = var18.getMaxIndex();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    java.lang.Double var30 = new java.lang.Double(1.0d);
    java.lang.Double var31 = new java.lang.Double(1.0d);
    boolean var32 = org.apache.commons.math.util.MathUtils.equals((double)var30, (double)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    boolean var37 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var28, (double)var31, (double)var35);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var38 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var25, var37);
    boolean var39 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var7, (int)var25);
    java.lang.Float var40 = new java.lang.Float(1.0f);
    java.lang.Float var41 = new java.lang.Float(100.0f);
    java.lang.Float var42 = new java.lang.Float(0.0f);
    java.lang.Integer var43 = new java.lang.Integer(0);
    boolean var44 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var41, (float)var42, (int)var43);
    boolean var45 = org.apache.commons.math.util.MathUtils.equals((float)var40, (float)var42);
    float var46 = org.apache.commons.math.util.MathUtils.sign((float)var40);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var51.ebeDivide((org.apache.commons.math.linear.RealVector)var56);
    org.apache.commons.math.linear.RealVector var58 = var56.mapAsinToSelf();
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(0.0d);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    double[] var62 = new double[] { var59, var60, var61};
    org.apache.commons.math.linear.ArrayRealVector var63 = new org.apache.commons.math.linear.ArrayRealVector(var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(0.0d);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    double[] var67 = new double[] { var64, var65, var66};
    org.apache.commons.math.linear.ArrayRealVector var68 = new org.apache.commons.math.linear.ArrayRealVector(var67);
    org.apache.commons.math.linear.RealVector var69 = var63.ebeDivide((org.apache.commons.math.linear.RealVector)var68);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    double var74 = var68.getL1Distance(var73);
    org.apache.commons.math.linear.RealVector var75 = var68.mapSignum();
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(0.0d);
    java.lang.Double var78 = new java.lang.Double((-1.0d));
    double[] var79 = new double[] { var76, var77, var78};
    org.apache.commons.math.linear.ArrayRealVector var80 = new org.apache.commons.math.linear.ArrayRealVector(var79);
    java.lang.Double var81 = new java.lang.Double((-1.0d));
    java.lang.Double var82 = new java.lang.Double(0.0d);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    double[] var84 = new double[] { var81, var82, var83};
    org.apache.commons.math.linear.ArrayRealVector var85 = new org.apache.commons.math.linear.ArrayRealVector(var84);
    org.apache.commons.math.linear.RealVector var86 = var80.ebeDivide((org.apache.commons.math.linear.RealVector)var85);
    org.apache.commons.math.linear.ArrayRealVector var87 = var68.add(var80);
    org.apache.commons.math.linear.ArrayRealVector var88 = var56.ebeDivide(var80);
    org.apache.commons.math.linear.RealVector var89 = var56.mapRintToSelf();
    java.lang.Integer var90 = new java.lang.Integer(0);
    java.lang.Long var91 = new java.lang.Long(100L);
    int var92 = org.apache.commons.math.util.MathUtils.pow((int)var90, (long)var91);
    java.lang.Double var93 = new java.lang.Double(0.0d);
    java.lang.Double var94 = new java.lang.Double(100.0d);
    double[] var95 = new double[] { var93, var94};
    var56.setSubVector((int)var92, var95);
    boolean var97 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var40, (int)var92);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var89 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var95 == null);

  }

  public void test124() throws Throwable {

    java.lang.Byte var0 = new java.lang.Byte((byte)10);
    byte var1 = org.apache.commons.math.util.MathUtils.sign((byte)var0);
    byte var2 = org.apache.commons.math.util.MathUtils.indicator((byte)var1);

  }

  public void test125() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double(0.0d);
    double[] var39 = new double[] { var36, var37, var38};
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var47};
    org.apache.commons.math.linear.OpenMapRealVector var49 = new org.apache.commons.math.linear.OpenMapRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var50};
    org.apache.commons.math.linear.OpenMapRealVector var52 = new org.apache.commons.math.linear.OpenMapRealVector(var51);
    org.apache.commons.math.linear.OpenMapRealVector var53 = var49.add(var52);
    double var54 = var45.dotProduct(var52);
    java.lang.Double var55 = new java.lang.Double(100.0d);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(100.0d);
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.RealVector var59 = var45.add(var58);
    boolean var60 = var45.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var39, var60);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var62 = var35.projection(var61);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);

  }

  public void test126() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var20};
    org.apache.commons.math.linear.OpenMapRealVector var22 = new org.apache.commons.math.linear.OpenMapRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var23};
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    org.apache.commons.math.linear.OpenMapRealVector var26 = var22.add(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var27};
    org.apache.commons.math.linear.OpenMapRealVector var29 = new org.apache.commons.math.linear.OpenMapRealVector(var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    org.apache.commons.math.linear.OpenMapRealVector var33 = var29.add(var32);
    double var34 = var25.dotProduct(var32);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var35 = var17.getL1Distance((org.apache.commons.math.linear.RealVector)var25);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test127() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    boolean var4 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var6};
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var9};
    org.apache.commons.math.linear.OpenMapRealVector var11 = new org.apache.commons.math.linear.OpenMapRealVector(var10);
    org.apache.commons.math.linear.OpenMapRealVector var12 = var8.add(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var13};
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var16};
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    org.apache.commons.math.linear.OpenMapRealVector var19 = var15.add(var18);
    double var20 = var11.dotProduct(var18);
    org.apache.commons.math.linear.RealVector var21 = var18.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var22 = var18.copy();
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    org.apache.commons.math.linear.RealVector var27 = var18.mapMultiply((double)var24);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    org.apache.commons.math.linear.RealVector var39 = var32.mapLog10ToSelf();
    java.lang.Double var40 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var41 = var32.mapMultiplyToSelf((double)var40);
    double var42 = org.apache.commons.math.util.MathUtils.indicator((double)var40);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    double var47 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var40, (double)var44);
    org.apache.commons.math.complex.Complex var48 = new org.apache.commons.math.complex.Complex(var24, var44);
    double var49 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var2, (double)var24);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);

  }

  public void test128() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapLog10ToSelf();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    int var30 = var29.log10K();
    double var31 = var17.getEntry((int)var30);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test129() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    boolean var3 = org.apache.commons.math.util.MathUtils.equals((double)var1, (double)var2);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    java.lang.Double var6 = new java.lang.Double(100.0d);
    int var7 = org.apache.commons.math.util.MathUtils.compareTo((double)var4, (double)var5, (double)var6);
    double var8 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var1, (double)var4);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Double var24 = new java.lang.Double(1.0d);
    java.lang.Double var25 = new java.lang.Double(1.0d);
    boolean var26 = org.apache.commons.math.util.MathUtils.equals((double)var24, (double)var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    boolean var31 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var22, (double)var25, (double)var29);
    org.apache.commons.math.linear.RealVector var32 = var13.append((double)var25);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    boolean var41 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var8, (double)var25, (int)var37);
    boolean var42 = var0.equals((java.lang.Object)var41);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test130() throws Throwable {

    java.lang.Float var0 = new java.lang.Float((-1.0f));
    java.lang.Float var1 = new java.lang.Float(1.0f);
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);

  }

  public void test131() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(0.0d);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var1, var2, var3};
    org.apache.commons.math.linear.ArrayRealVector var5 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    org.apache.commons.math.linear.RealVector var11 = var5.ebeDivide((org.apache.commons.math.linear.RealVector)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.linear.RealVector var16 = var10.mapPowToSelf((double)var14);
    java.lang.Integer var17 = new java.lang.Integer(10);
    int var18 = org.apache.commons.math.util.MathUtils.indicator((int)var17);
    java.lang.Integer var19 = new java.lang.Integer(10);
    int var20 = org.apache.commons.math.util.MathUtils.indicator((int)var19);
    org.apache.commons.math.linear.RealVector var21 = var10.getSubVector((int)var18, (int)var20);
    java.lang.Double var22 = new java.lang.Double(1.0d);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    boolean var24 = org.apache.commons.math.util.MathUtils.equals((double)var22, (double)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    double var29 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var22, (double)var25);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    java.lang.Double var46 = new java.lang.Double(1.0d);
    boolean var47 = org.apache.commons.math.util.MathUtils.equals((double)var45, (double)var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    boolean var52 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var43, (double)var46, (double)var50);
    org.apache.commons.math.linear.RealVector var53 = var34.append((double)var46);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    boolean var62 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var29, (double)var46, (int)var58);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var63 = new org.apache.commons.math.linear.ArrayRealVector(var0, var18, var58);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);

  }

  public void test132() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(10.0d);
    java.lang.Double var1 = new java.lang.Double(100.0d);
    java.lang.Double var2 = new java.lang.Double(10.0d);
    double[] var3 = new double[] { var0, var1, var2};
    double[] var4 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var5 = org.apache.commons.math.util.MathUtils.distance1(var3, var4);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test133() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var17 = var16.getZero();
    double var18 = var17.getArgument();
    org.apache.commons.math.complex.Complex var19 = var13.pow(var17);
    org.apache.commons.math.complex.Complex var20 = var13.log();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test134() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double(10.0d);
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.RealVector var17 = var12.ebeDivide(var16);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test135() throws Throwable {

    int[] var0 = new int[] { };
    java.lang.Integer var1 = new java.lang.Integer((-1));
    java.lang.Integer var2 = new java.lang.Integer(10);
    java.lang.Integer var3 = new java.lang.Integer((-1));
    int[] var4 = new int[] { var1, var2, var3};
    int var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test136() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    org.apache.commons.math.linear.RealVector var23 = var17.mapPowToSelf((double)var21);
    java.lang.Double[] var24 = new java.lang.Double[] { var21};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var25.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var25.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var28 = var7.projection(var27);
    org.apache.commons.math.linear.RealVector var29 = var7.mapLog10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test137() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.add(var34);
    double var36 = var27.dotProduct(var34);
    org.apache.commons.math.linear.RealVector var37 = var12.mapMultiplyToSelf((double)var36);
    java.util.Iterator var38 = var12.sparseIterator();
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    org.apache.commons.math.linear.RealVector var49 = var43.ebeDivide((org.apache.commons.math.linear.RealVector)var48);
    int var50 = var43.getMaxIndex();
    java.lang.Double var51 = new java.lang.Double(0.0d);
    double[] var52 = new double[] { var51};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var12.setSubVector((int)var50, var52);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test138() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(10);
    java.lang.Integer var1 = new java.lang.Integer((-1));
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    org.apache.commons.math.linear.RealVector var17 = var11.mapPowToSelf((double)var15);
    java.lang.Double[] var18 = new java.lang.Double[] { var15};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    org.apache.commons.math.linear.RealVector var20 = var19.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var21 = var19.mapFloorToSelf();
    int var22 = var19.getDimension();
    int var23 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var1, (int)var22);
    int var24 = org.apache.commons.math.util.MathUtils.lcm((int)var0, (int)var22);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test139() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sqrt1z();
    org.apache.commons.math.complex.Complex var3 = var1.cosh();
    org.apache.commons.math.complex.Complex var4 = var1.sinh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test140() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double[] var15 = new java.lang.Double[] { var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double(10.0d);
    double[] var18 = new double[] { var17};
    double var19 = var16.dotProduct(var18);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test141() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var18 = var17.getSparsity();
    org.apache.commons.math.linear.RealVector var19 = var17.mapSinhToSelf();
    boolean var20 = var14.equals((java.lang.Object)var19);
    double[] var21 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var22 = var14.ebeMultiply(var21);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test142() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.gcd((int)var22, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.linear.RealVector var52 = var33.append((double)var45);
    org.apache.commons.math.linear.RealVector var53 = var33.mapAcos();
    double[] var54 = var33.toArray();
    java.lang.Double var55 = new java.lang.Double(1.0d);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((double)var55, (double)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    double var62 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var55, (double)var58);
    org.apache.commons.math.linear.RealVector var63 = var33.mapMultiplyToSelf((double)var62);
    org.apache.commons.math.linear.RealVector var64 = var33.mapSqrtToSelf();
    var9.set((int)var28, var33);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    java.lang.Integer var69 = new java.lang.Integer(100);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    int var74 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var69, (int)var73);
    java.lang.Integer var75 = new java.lang.Integer(100);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(10.0d);
    java.lang.Double var78 = new java.lang.Double(100.0d);
    int var79 = org.apache.commons.math.util.MathUtils.compareTo((double)var76, (double)var77, (double)var78);
    int var80 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var75, (int)var79);
    int var81 = org.apache.commons.math.util.MathUtils.lcm((int)var73, (int)var80);
    int var82 = org.apache.commons.math.util.MathUtils.lcm((int)var66, (int)var80);
    boolean var83 = var9.equals((java.lang.Object)var66);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);

  }

  public void test143() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    java.lang.Integer var1 = new java.lang.Integer(0);
    java.lang.Long var2 = new java.lang.Long(100L);
    int var3 = org.apache.commons.math.util.MathUtils.pow((int)var1, (long)var2);
    long var4 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var0, (long)var2);
    long var5 = org.apache.commons.math.util.MathUtils.indicator((long)var0);

  }

  public void test144() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    boolean var18 = var9.isNaN();
    org.apache.commons.math.linear.RealVector var19 = var9.mapSinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test145() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapCoshToSelf();
    double var31 = var29.getNorm();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    org.apache.commons.math.linear.RealVector var43 = var41.mapAsinToSelf();
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var29, var41);
    org.apache.commons.math.linear.RealVector var45 = var44.mapLog10ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test146() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    double[] var7 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var8 = var6.getLInfDistance(var7);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);

  }

  public void test147() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    double[] var20 = new double[] { var17, var18, var19};
    double var21 = var9.getDistance(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapLog10ToSelf();
    java.lang.Double var34 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var35 = var26.mapMultiplyToSelf((double)var34);
    org.apache.commons.math.linear.RealVector var36 = var9.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    double var37 = var26.getL1Norm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test148() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getOne();
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
    org.apache.commons.math.dfp.Dfp var34 = var33.getOne();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    org.apache.commons.math.dfp.DfpField var53 = new org.apache.commons.math.dfp.DfpField(var48);
    org.apache.commons.math.dfp.Dfp var54 = var53.getOne();
    org.apache.commons.math.dfp.Dfp var55 = var43.newDfp(var54);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Integer var60 = new java.lang.Integer(0);
    java.lang.Long var61 = new java.lang.Long(100L);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
    boolean var66 = var54.greaterThan(var65);
    org.apache.commons.math.dfp.Dfp var67 = var34.remainder(var65);
    org.apache.commons.math.dfp.Dfp var68 = new org.apache.commons.math.dfp.Dfp(var67);
    org.apache.commons.math.dfp.Dfp var69 = var24.multiply(var68);
    org.apache.commons.math.dfp.Dfp var70 = org.apache.commons.math.dfp.DfpMath.exp(var24);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);

  }

  public void test149() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.cos();
    org.apache.commons.math.complex.Complex var4 = var1.tan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test150() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(1.0f);
    java.lang.Float var1 = new java.lang.Float(100.0f);
    java.lang.Float var2 = new java.lang.Float(0.0f);
    java.lang.Integer var3 = new java.lang.Integer(0);
    boolean var4 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var1, (float)var2, (int)var3);
    boolean var5 = org.apache.commons.math.util.MathUtils.equals((float)var0, (float)var2);
    java.lang.Float var6 = new java.lang.Float(0.0f);
    java.lang.Float var7 = new java.lang.Float((-1.0f));
    boolean var8 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var7);
    java.lang.Float var9 = new java.lang.Float(100.0f);
    java.lang.Float var10 = new java.lang.Float(0.0f);
    java.lang.Integer var11 = new java.lang.Integer(0);
    boolean var12 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var9, (float)var10, (int)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    org.apache.commons.math.linear.RealVector var23 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var22);
    org.apache.commons.math.linear.RealVector var24 = var17.mapAtanToSelf();
    java.lang.Integer var25 = new java.lang.Integer(100);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    int var30 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var25, (int)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.gcd((int)var29, (int)var34);
    int var36 = org.apache.commons.math.util.MathUtils.sign((int)var35);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    java.lang.Double var38 = new java.lang.Double(10.0d);
    double[] var39 = new double[] { var37, var38};
    double var40 = org.apache.commons.math.util.MathUtils.safeNorm(var39);
    var17.setEntry((int)var36, (double)var40);
    boolean var42 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var10, (int)var36);
    boolean var43 = org.apache.commons.math.util.MathUtils.equals((float)var2, (float)var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test151() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
    int var20 = var17.getDimension();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapLog10ToSelf();
    java.lang.Double var33 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var34 = var25.mapMultiplyToSelf((double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.indicator((double)var33);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.add(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var46};
    org.apache.commons.math.linear.OpenMapRealVector var48 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var45.add(var48);
    double var50 = var41.dotProduct(var48);
    org.apache.commons.math.complex.ComplexField var51 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var52 = var51.getZero();
    double var53 = var52.getArgument();
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var50, (double)var53);
    org.apache.commons.math.linear.RealVector var55 = var17.mapSubtractToSelf((double)var53);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);

  }

  public void test152() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    org.apache.commons.math.complex.ComplexField var3 = var1.getField();
    org.apache.commons.math.complex.Complex var4 = var3.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test153() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double[] var16 = new java.lang.Double[] { var12};
    java.lang.Integer var17 = new java.lang.Integer(100);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var17, (int)var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    int var27 = org.apache.commons.math.util.MathUtils.gcd((int)var21, (int)var26);
    int var28 = org.apache.commons.math.util.MathUtils.sign((int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    java.lang.Integer var33 = new java.lang.Integer(0);
    java.lang.Long var34 = new java.lang.Long(100L);
    int var35 = org.apache.commons.math.util.MathUtils.pow((int)var33, (long)var34);
    int var36 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var32, (int)var33);
    org.apache.commons.math.dfp.DfpField var37 = new org.apache.commons.math.dfp.DfpField(var32);
    org.apache.commons.math.dfp.Dfp var38 = var37.getOne();
    int var39 = var37.getRadixDigits();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Integer var44 = new java.lang.Integer(0);
    java.lang.Long var45 = new java.lang.Long(100L);
    int var46 = org.apache.commons.math.util.MathUtils.pow((int)var44, (long)var45);
    int var47 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var43, (int)var44);
    org.apache.commons.math.dfp.DfpField var48 = new org.apache.commons.math.dfp.DfpField(var43);
    org.apache.commons.math.dfp.Dfp var49 = var48.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var50 = var48.getRoundingMode();
    var37.setRoundingMode(var50);
    int var52 = var37.getIEEEFlags();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var16, var28, var52);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test154() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.complex.ComplexField var7 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var8 = var7.getZero();
    org.apache.commons.math.complex.Complex var9 = var8.sinh();
    double var10 = var8.getImaginary();
    double var11 = org.apache.commons.math.util.MathUtils.indicator((double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    java.lang.Double var24 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var25 = var16.mapMultiplyToSelf((double)var24);
    double var26 = org.apache.commons.math.util.MathUtils.indicator((double)var24);
    java.lang.Double var27 = new java.lang.Double(0.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var10, (double)var26, (double)var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 = var6.mapAdd((double)var27);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = var32.add(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    org.apache.commons.math.linear.OpenMapRealVector var43 = var39.add(var42);
    double var44 = var35.dotProduct(var42);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    java.lang.Double var46 = new java.lang.Double(1.0d);
    boolean var47 = org.apache.commons.math.util.MathUtils.equals((double)var45, (double)var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    double var52 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var45, (double)var48);
    var42.set((double)var48);
    org.apache.commons.math.linear.OpenMapRealVector var54 = var29.append(var42);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    org.apache.commons.math.linear.RealVector var65 = var59.ebeDivide((org.apache.commons.math.linear.RealVector)var64);
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    int var69 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    org.apache.commons.math.linear.RealVector var70 = var59.mapDivide((double)var67);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(0.0d);
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    double[] var74 = new double[] { var71, var72, var73};
    org.apache.commons.math.linear.ArrayRealVector var75 = new org.apache.commons.math.linear.ArrayRealVector(var74);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(0.0d);
    java.lang.Double var78 = new java.lang.Double((-1.0d));
    double[] var79 = new double[] { var76, var77, var78};
    org.apache.commons.math.linear.ArrayRealVector var80 = new org.apache.commons.math.linear.ArrayRealVector(var79);
    org.apache.commons.math.linear.RealVector var81 = var75.ebeDivide((org.apache.commons.math.linear.RealVector)var80);
    org.apache.commons.math.linear.RealVector var82 = var75.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var83 = var75.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var84 = var59.subtract(var75);
    org.apache.commons.math.linear.RealVector var85 = var84.mapCoshToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var86 = var42.dotProduct((org.apache.commons.math.linear.RealVector)var84);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var85 == null);

  }

  public void test155() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var31 = var29.mapExp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test156() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    double var14 = var4.getL1Norm();
    org.apache.commons.math.linear.RealVector var15 = var4.mapLog1pToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test157() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    org.apache.commons.math.linear.RealVector var5 = var4.mapExpm1();
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.RealVector var16 = var10.ebeDivide((org.apache.commons.math.linear.RealVector)var15);
    org.apache.commons.math.linear.RealVector var17 = var15.mapAsinToSelf();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    org.apache.commons.math.linear.RealVector var29 = var22.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var30 = var15.ebeDivide(var22);
    double[] var31 = var15.toArray();
    double var32 = var4.getL1Distance(var15);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test158() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var14.mapCosToSelf();
    org.apache.commons.math.linear.RealVector var16 = var14.mapAbsToSelf();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.RealMatrix var32 = var26.outerProduct(var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapSinhToSelf();
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double(0.0d);
    double[] var37 = new double[] { var34, var35, var36};
    double var38 = var26.getLInfDistance(var37);
    double var39 = var14.getLInfDistance(var26);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test159() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    org.apache.commons.math.linear.RealVector var25 = var19.ebeDivide((org.apache.commons.math.linear.RealVector)var24);
    org.apache.commons.math.linear.RealVector var26 = var19.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var27 = var19.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var28 = var19.mapCeilToSelf();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double(1.0d);
    java.lang.Double var35 = new java.lang.Double(1.0d);
    boolean var36 = org.apache.commons.math.util.MathUtils.equals((double)var34, (double)var35);
    org.apache.commons.math.linear.RealVector var37 = var33.mapDivide((double)var35);
    org.apache.commons.math.linear.ArrayRealVector var38 = var19.subtract(var33);
    org.apache.commons.math.linear.RealVector var39 = var19.mapExpToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var40 = var12.dotProduct(var39);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test160() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    int var12 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp[] var13 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test161() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    double var32 = var26.getL1Distance(var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapSignum();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.ArrayRealVector var45 = var26.add(var38);
    org.apache.commons.math.linear.RealVector var46 = var38.mapTanhToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var47 = var5.subtract(var46);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test162() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    java.lang.Double var4 = new java.lang.Double(0.0d);
    double[] var5 = new double[] { var3, var4};
    double[] var6 = new double[] { };
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var7, var8, var9};
    double var11 = org.apache.commons.math.util.MathUtils.distanceInf(var6, var10);
    double var12 = var2.evaluate(var5, (double)var11);
    java.lang.Double var13 = new java.lang.Double(1.0d);
    java.lang.Double var14 = new java.lang.Double(10.0d);
    double[] var15 = new double[] { var13, var14};
    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var17 = var16.getZero();
    double var18 = var17.getArgument();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    java.lang.Integer var23 = new java.lang.Integer(0);
    java.lang.Long var24 = new java.lang.Long(100L);
    int var25 = org.apache.commons.math.util.MathUtils.pow((int)var23, (long)var24);
    int var26 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var22, (int)var23);
    java.lang.Integer var27 = new java.lang.Integer(100);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    java.lang.Integer var32 = new java.lang.Integer(0);
    java.lang.Long var33 = new java.lang.Long(100L);
    int var34 = org.apache.commons.math.util.MathUtils.pow((int)var32, (long)var33);
    int var35 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var31, (int)var32);
    int var36 = org.apache.commons.math.util.MathUtils.pow((int)var27, (int)var31);
    double var37 = var2.evaluate(var15, (double)var18, (int)var23, (int)var36);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test163() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    org.apache.commons.math.linear.RealVector var4 = var2.mapCosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var2);
    double[] var6 = var2.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test164() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var4, var5};
    org.apache.commons.math.linear.RealVector var7 = var2.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    boolean var16 = var15.isNaN();
    org.apache.commons.math.linear.RealVector var17 = var15.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var18 = var2.ebeMultiply(var17);
    org.apache.commons.math.linear.RealVector var19 = var2.mapLog10ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test165() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    org.apache.commons.math.linear.RealVector var36 = var30.mapPowToSelf((double)var34);
    java.lang.Double[] var37 = new java.lang.Double[] { var34};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var38.mapCbrtToSelf();
    java.lang.Integer var40 = new java.lang.Integer(100);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    int var45 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var40, (int)var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    int var50 = org.apache.commons.math.util.MathUtils.gcd((int)var44, (int)var49);
    int var51 = org.apache.commons.math.util.MathUtils.sign((int)var50);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    java.lang.Double var53 = new java.lang.Double(10.0d);
    double[] var54 = new double[] { var52, var53};
    double var55 = org.apache.commons.math.util.MathUtils.safeNorm(var54);
    var38.setEntry((int)var51, (double)var55);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var57 = var9.getL1Distance((org.apache.commons.math.linear.RealVector)var38);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);

  }

  public void test166() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    org.apache.commons.math.linear.RealVector var36 = var35.mapCeilToSelf();
    java.lang.Float var37 = new java.lang.Float(0.0f);
    java.lang.Float var38 = new java.lang.Float((-1.0f));
    boolean var39 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var37, (float)var38);
    java.lang.Float var40 = new java.lang.Float(100.0f);
    java.lang.Float var41 = new java.lang.Float(0.0f);
    java.lang.Integer var42 = new java.lang.Integer(0);
    boolean var43 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var40, (float)var41, (int)var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(0.0d);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var49, var50, var51};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var48.ebeDivide((org.apache.commons.math.linear.RealVector)var53);
    org.apache.commons.math.linear.RealVector var55 = var48.mapAtanToSelf();
    java.lang.Integer var56 = new java.lang.Integer(100);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    int var61 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var56, (int)var60);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    int var66 = org.apache.commons.math.util.MathUtils.gcd((int)var60, (int)var65);
    int var67 = org.apache.commons.math.util.MathUtils.sign((int)var66);
    java.lang.Double var68 = new java.lang.Double(100.0d);
    java.lang.Double var69 = new java.lang.Double(10.0d);
    double[] var70 = new double[] { var68, var69};
    double var71 = org.apache.commons.math.util.MathUtils.safeNorm(var70);
    var48.setEntry((int)var67, (double)var71);
    boolean var73 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var38, (float)var41, (int)var67);
    java.lang.Double var74 = new java.lang.Double(1.0d);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    double[] var76 = new double[] { var74, var75};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var35.setSubVector((int)var67, var76);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);

  }

  public void test167() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    org.apache.commons.math.linear.OpenMapRealVector var11 = var10.unitVector();
    double var12 = var6.getDistance(var10);
    org.apache.commons.math.complex.ComplexField var13 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var14 = var13.getZero();
    double var15 = var14.getArgument();
    double var16 = var14.abs();
    java.lang.Long var17 = new java.lang.Long(100L);
    java.lang.Integer var18 = new java.lang.Integer(0);
    java.lang.Long var19 = new java.lang.Long(100L);
    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
    long var21 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var17, (long)var19);
    java.lang.Integer var22 = new java.lang.Integer(100);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    int var27 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var22, (int)var26);
    long var28 = org.apache.commons.math.util.MathUtils.pow((long)var21, (int)var27);
    double var29 = org.apache.commons.math.util.MathUtils.scalb((double)var16, (int)var27);
    org.apache.commons.math.complex.ComplexField var30 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var31 = var30.getZero();
    double var32 = var31.getArgument();
    double var33 = var31.abs();
    java.lang.Long var34 = new java.lang.Long(100L);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    long var38 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var34, (long)var36);
    java.lang.Integer var39 = new java.lang.Integer(100);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    int var44 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var39, (int)var43);
    long var45 = org.apache.commons.math.util.MathUtils.pow((long)var38, (int)var44);
    double var46 = org.apache.commons.math.util.MathUtils.scalb((double)var33, (int)var44);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var47 = var10.getSubVector((int)var27, (int)var44);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test168() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    int var12 = var11.getMaxIndex();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);

  }

  public void test169() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapLog10ToSelf();
    java.lang.Double var33 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var34 = var25.mapMultiplyToSelf((double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.indicator((double)var33);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    double var40 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var33, (double)var37);
    org.apache.commons.math.linear.RealVector var41 = var18.mapPow((double)var33);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    org.apache.commons.math.linear.RealVector var52 = var46.ebeDivide((org.apache.commons.math.linear.RealVector)var51);
    org.apache.commons.math.linear.RealVector var53 = var46.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var54 = var46.mapInvToSelf();
    double[] var55 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var46, var55);
    org.apache.commons.math.linear.RealVector var57 = var46.mapCbrt();
    org.apache.commons.math.linear.RealVector var58 = var46.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var59 = var46.mapTanh();
    org.apache.commons.math.linear.AbstractRealVector var60 = var46.copy();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var61 = var18.dotProduct(var46);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test170() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    boolean var4 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.RealVector var16 = var10.ebeDivide((org.apache.commons.math.linear.RealVector)var15);
    org.apache.commons.math.linear.RealVector var17 = var10.mapLog10ToSelf();
    java.lang.Double var18 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var19 = var10.mapMultiplyToSelf((double)var18);
    double var20 = org.apache.commons.math.util.MathUtils.indicator((double)var18);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    double var25 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var18, (double)var22);
    java.lang.Integer var26 = new java.lang.Integer(10);
    java.lang.Integer var27 = new java.lang.Integer(10);
    double var28 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var26, (int)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    double var32 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var27, (int)var29);
    boolean var33 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var2, (double)var22, (int)var29);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    boolean var38 = org.apache.commons.math.util.MathUtils.equals((double)var2, (double)var34);
    java.lang.Double[] var39 = new java.lang.Double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var40 = new org.apache.commons.math.linear.OpenMapRealVector(var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test171() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    org.apache.commons.math.dfp.DfpField var53 = new org.apache.commons.math.dfp.DfpField(var48);
    org.apache.commons.math.dfp.Dfp var54 = var53.getOne();
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    java.lang.Integer var59 = new java.lang.Integer(0);
    java.lang.Long var60 = new java.lang.Long(100L);
    int var61 = org.apache.commons.math.util.MathUtils.pow((int)var59, (long)var60);
    int var62 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var58, (int)var59);
    org.apache.commons.math.dfp.DfpField var63 = new org.apache.commons.math.dfp.DfpField(var58);
    org.apache.commons.math.dfp.Dfp var64 = var63.getOne();
    org.apache.commons.math.dfp.Dfp var65 = var53.newDfp(var64);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(10.0d);
    java.lang.Double var68 = new java.lang.Double(100.0d);
    int var69 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    java.lang.Integer var70 = new java.lang.Integer(0);
    java.lang.Long var71 = new java.lang.Long(100L);
    int var72 = org.apache.commons.math.util.MathUtils.pow((int)var70, (long)var71);
    int var73 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var69, (int)var70);
    org.apache.commons.math.dfp.DfpField var74 = new org.apache.commons.math.dfp.DfpField(var69);
    org.apache.commons.math.dfp.Dfp var75 = var74.getOne();
    boolean var76 = var64.greaterThan(var75);
    org.apache.commons.math.dfp.Dfp var77 = var44.remainder(var75);
    org.apache.commons.math.dfp.Dfp var78 = var34.multiply(var75);
    java.lang.Byte var79 = new java.lang.Byte((byte)100);
    java.lang.Byte var80 = new java.lang.Byte((byte)1);
    org.apache.commons.math.dfp.Dfp var81 = var34.newInstance((byte)var79, (byte)var80);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);

  }

  public void test172() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.Complex var16 = var15.sinh();
    org.apache.commons.math.complex.Complex var17 = var15.negate();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    int var21 = var20.getDimension();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.linear.RealVector var37 = var31.mapPowToSelf((double)var35);
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var21, var35);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(1.0d);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    boolean var43 = org.apache.commons.math.util.MathUtils.equals((double)var41, (double)var42);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    org.apache.commons.math.linear.RealVector var55 = var49.ebeDivide((org.apache.commons.math.linear.RealVector)var54);
    org.apache.commons.math.linear.RealVector var56 = var49.mapLog10ToSelf();
    java.lang.Double var57 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var58 = var49.mapMultiplyToSelf((double)var57);
    double var59 = org.apache.commons.math.util.MathUtils.indicator((double)var57);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(10.0d);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    int var63 = org.apache.commons.math.util.MathUtils.compareTo((double)var60, (double)var61, (double)var62);
    double var64 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var57, (double)var61);
    java.lang.Integer var65 = new java.lang.Integer(10);
    java.lang.Integer var66 = new java.lang.Integer(10);
    double var67 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var65, (int)var66);
    java.lang.Integer var68 = new java.lang.Integer(0);
    java.lang.Long var69 = new java.lang.Long(100L);
    int var70 = org.apache.commons.math.util.MathUtils.pow((int)var68, (long)var69);
    double var71 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var66, (int)var68);
    boolean var72 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var41, (double)var61, (int)var68);
    org.apache.commons.math.linear.RealVector var73 = var38.mapMultiplyToSelf((double)var41);
    double var74 = var38.getNorm();
    org.apache.commons.math.complex.Complex var75 = var15.multiply((double)var74);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);

  }

  public void test173() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    org.apache.commons.math.linear.OpenMapRealVector var34 = var30.add(var33);
    double var35 = var26.dotProduct(var33);
    org.apache.commons.math.linear.RealVector var36 = var33.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var37 = var33.copy();
    org.apache.commons.math.linear.OpenMapRealVector var38 = var20.subtract((org.apache.commons.math.linear.RealVector)var33);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var39 = var4.dotProduct((org.apache.commons.math.linear.RealVector)var33);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);

  }

  public void test174() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapRintToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    org.apache.commons.math.linear.RealVector var17 = var16.mapExpm1();
    org.apache.commons.math.linear.RealVector var18 = var4.projection(var17);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var19, var20};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var22 = var4.getL1Distance(var21);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test175() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(1.0d);
    double[] var14 = new double[] { var12, var13};
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var14, var15);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(0.0d);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var25, var26, var27};
    org.apache.commons.math.linear.ArrayRealVector var29 = new org.apache.commons.math.linear.ArrayRealVector(var28);
    org.apache.commons.math.linear.RealVector var30 = var24.ebeDivide((org.apache.commons.math.linear.RealVector)var29);
    org.apache.commons.math.linear.RealVector var31 = var24.mapLog10ToSelf();
    java.lang.Double var32 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var33 = var24.mapMultiplyToSelf((double)var32);
    double var34 = org.apache.commons.math.util.MathUtils.indicator((double)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var35};
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var38};
    org.apache.commons.math.linear.OpenMapRealVector var40 = new org.apache.commons.math.linear.OpenMapRealVector(var39);
    org.apache.commons.math.linear.OpenMapRealVector var41 = var37.add(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var42};
    org.apache.commons.math.linear.OpenMapRealVector var44 = new org.apache.commons.math.linear.OpenMapRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var45};
    org.apache.commons.math.linear.OpenMapRealVector var47 = new org.apache.commons.math.linear.OpenMapRealVector(var46);
    org.apache.commons.math.linear.OpenMapRealVector var48 = var44.add(var47);
    double var49 = var40.dotProduct(var47);
    org.apache.commons.math.linear.RealVector var50 = var47.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var51 = var47.copy();
    java.lang.Double var52 = new java.lang.Double(0.0d);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    org.apache.commons.math.linear.RealVector var56 = var47.mapMultiply((double)var53);
    double var57 = org.apache.commons.math.util.MathUtils.nextAfter((double)var32, (double)var53);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(0.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var63, var64, var65};
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var66);
    org.apache.commons.math.linear.RealVector var68 = var62.ebeDivide((org.apache.commons.math.linear.RealVector)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    java.lang.Double var73 = new java.lang.Double(1.0d);
    java.lang.Double var74 = new java.lang.Double(1.0d);
    boolean var75 = org.apache.commons.math.util.MathUtils.equals((double)var73, (double)var74);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    java.lang.Double var77 = new java.lang.Double(10.0d);
    java.lang.Double var78 = new java.lang.Double(100.0d);
    int var79 = org.apache.commons.math.util.MathUtils.compareTo((double)var76, (double)var77, (double)var78);
    boolean var80 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var71, (double)var74, (double)var78);
    org.apache.commons.math.linear.RealVector var81 = var62.append((double)var74);
    int var82 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var53, (double)var74);
    org.apache.commons.math.dfp.Dfp var83 = var8.newDfp((double)var74);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);

  }

  public void test176() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(1.0d);
    double[] var2 = new double[] { var0, var1};
    org.apache.commons.math.linear.ArrayRealVector var3 = new org.apache.commons.math.linear.ArrayRealVector(var2);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test177() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    java.lang.Integer var8 = new java.lang.Integer(0);
    java.lang.Long var9 = new java.lang.Long(100L);
    int var10 = org.apache.commons.math.util.MathUtils.pow((int)var8, (long)var9);
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Integer var17 = new java.lang.Integer(100);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    int var22 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var17, (int)var21);
    int var23 = org.apache.commons.math.util.MathUtils.lcm((int)var15, (int)var22);
    int var24 = org.apache.commons.math.util.MathUtils.lcm((int)var8, (int)var22);
    double[] var25 = new double[] { };
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    double[] var28 = new double[] { var26, var27};
    double var29 = org.apache.commons.math.util.MathUtils.distance1(var25, var28);
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var4, var22, var29);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test178() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    double[] var20 = new double[] { var17, var18, var19};
    double var21 = var9.getDistance(var20);
    org.apache.commons.math.linear.RealVector var22 = var9.mapCeilToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test179() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var9.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var28 = var9.mapLog10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test180() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double(100.0d);
    double[] var2 = new double[] { var0, var1};
    org.apache.commons.math.util.MathUtils.checkOrder(var2);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test181() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(1.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    java.lang.Float var2 = new java.lang.Float(1.0f);
    float[] var3 = new float[] { var0, var1, var2};
    java.lang.Float var4 = new java.lang.Float(100.0f);
    java.lang.Float var5 = new java.lang.Float(10.0f);
    java.lang.Float var6 = new java.lang.Float((-1.0f));
    float[] var7 = new float[] { var4, var5, var6};
    boolean var8 = org.apache.commons.math.util.MathUtils.equals(var3, var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);

  }

  public void test182() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapLog1pToSelf();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    org.apache.commons.math.linear.OpenMapRealVector var10 = var6.add(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    double var18 = var9.dotProduct(var16);
    org.apache.commons.math.linear.RealVector var19 = var16.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.copy();
    org.apache.commons.math.linear.RealMatrix var21 = var2.outerProduct((org.apache.commons.math.linear.RealVector)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    int var33 = var26.getMaxIndex();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    boolean var40 = org.apache.commons.math.util.MathUtils.equals((double)var38, (double)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    boolean var45 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var36, (double)var39, (double)var43);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var46 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var33, var45);
    double[] var47 = var46.getStandardDeviation();
    int var48 = var46.getDimension();
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var49};
    org.apache.commons.math.linear.OpenMapRealVector var51 = new org.apache.commons.math.linear.OpenMapRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var52};
    org.apache.commons.math.linear.OpenMapRealVector var54 = new org.apache.commons.math.linear.OpenMapRealVector(var53);
    org.apache.commons.math.linear.OpenMapRealVector var55 = var51.add(var54);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    double[] var57 = new double[] { var56};
    org.apache.commons.math.linear.OpenMapRealVector var58 = new org.apache.commons.math.linear.OpenMapRealVector(var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var59};
    org.apache.commons.math.linear.OpenMapRealVector var61 = new org.apache.commons.math.linear.OpenMapRealVector(var60);
    org.apache.commons.math.linear.OpenMapRealVector var62 = var58.add(var61);
    double var63 = var54.dotProduct(var61);
    org.apache.commons.math.linear.RealVector var64 = var61.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var65 = var61.copy();
    int var66 = var65.getDimension();
    int var67 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    double[] var69 = new double[] { var68};
    org.apache.commons.math.linear.OpenMapRealVector var70 = new org.apache.commons.math.linear.OpenMapRealVector(var69);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    double[] var72 = new double[] { var71};
    org.apache.commons.math.linear.OpenMapRealVector var73 = new org.apache.commons.math.linear.OpenMapRealVector(var72);
    org.apache.commons.math.linear.OpenMapRealVector var74 = var70.add(var73);
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var75};
    org.apache.commons.math.linear.OpenMapRealVector var77 = new org.apache.commons.math.linear.OpenMapRealVector(var76);
    java.lang.Double var78 = new java.lang.Double((-1.0d));
    double[] var79 = new double[] { var78};
    org.apache.commons.math.linear.OpenMapRealVector var80 = new org.apache.commons.math.linear.OpenMapRealVector(var79);
    org.apache.commons.math.linear.OpenMapRealVector var81 = var77.add(var80);
    org.apache.commons.math.linear.OpenMapRealVector var82 = new org.apache.commons.math.linear.OpenMapRealVector(var81);
    boolean var83 = var82.isNaN();
    org.apache.commons.math.linear.RealVector var84 = var73.projection((org.apache.commons.math.linear.RealVector)var82);
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var86 = var85.getSparsity();
    org.apache.commons.math.linear.RealVector var87 = var85.mapSinhToSelf();
    boolean var88 = var82.equals((java.lang.Object)var87);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var20.setSubVector((int)var48, (org.apache.commons.math.linear.RealVector)var82);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);

  }

  public void test183() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var16.mapFloorToSelf();
    double[] var26 = var16.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test184() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.gcd((int)var22, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.linear.RealVector var52 = var33.append((double)var45);
    org.apache.commons.math.linear.RealVector var53 = var33.mapAcos();
    double[] var54 = var33.toArray();
    java.lang.Double var55 = new java.lang.Double(1.0d);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((double)var55, (double)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    double var62 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var55, (double)var58);
    org.apache.commons.math.linear.RealVector var63 = var33.mapMultiplyToSelf((double)var62);
    org.apache.commons.math.linear.RealVector var64 = var33.mapSqrtToSelf();
    var9.set((int)var28, var33);
    double var66 = var9.getLInfNorm();
    java.lang.Integer var67 = new java.lang.Integer(100);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(10.0d);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var68, (double)var69, (double)var70);
    int var72 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var67, (int)var71);
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    java.lang.Double var74 = new java.lang.Double(10.0d);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    int var76 = org.apache.commons.math.util.MathUtils.compareTo((double)var73, (double)var74, (double)var75);
    int var77 = org.apache.commons.math.util.MathUtils.gcd((int)var71, (int)var76);
    int var78 = org.apache.commons.math.util.MathUtils.sign((int)var77);
    java.lang.Double var79 = new java.lang.Double((-1.0d));
    java.lang.Double var80 = new java.lang.Double(1.0d);
    double[] var81 = new double[] { var79, var80};
    java.lang.Double var82 = new java.lang.Double(0.0d);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double((-1.0d));
    int var85 = org.apache.commons.math.util.MathUtils.compareTo((double)var82, (double)var83, (double)var84);
    org.apache.commons.math.linear.OpenMapRealVector var86 = new org.apache.commons.math.linear.OpenMapRealVector(var81, var82);
    var9.setEntry((int)var77, (double)var82);
    java.lang.Double var88 = new java.lang.Double(1.0d);
    java.lang.Double var89 = new java.lang.Double(1.0d);
    boolean var90 = org.apache.commons.math.util.MathUtils.equals((double)var88, (double)var89);
    java.lang.Double var91 = new java.lang.Double((-1.0d));
    java.lang.Double var92 = new java.lang.Double(10.0d);
    java.lang.Double var93 = new java.lang.Double(100.0d);
    int var94 = org.apache.commons.math.util.MathUtils.compareTo((double)var91, (double)var92, (double)var93);
    double var95 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var88, (double)var91);
    org.apache.commons.math.linear.ArrayRealVector var96 = new org.apache.commons.math.linear.ArrayRealVector(var77, var95);
    org.apache.commons.math.linear.RealVector var97 = var96.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var97 == null);

  }

  public void test185() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    org.apache.commons.math.dfp.Dfp var11 = var8.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test186() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    boolean var19 = org.apache.commons.math.util.MathUtils.equals((double)var17, (double)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var15, (double)var18, (double)var22);
    org.apache.commons.math.linear.RealVector var25 = var6.append((double)var18);
    org.apache.commons.math.linear.RealVector var26 = var6.mapAcos();
    double[] var27 = var6.toArray();
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var28, (double)var31);
    org.apache.commons.math.linear.RealVector var36 = var6.mapMultiplyToSelf((double)var35);
    org.apache.commons.math.linear.RealVector var37 = var6.mapSqrtToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    org.apache.commons.math.linear.RealVector var53 = var47.mapPowToSelf((double)var51);
    java.lang.Double[] var54 = new java.lang.Double[] { var51};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var55.mapCbrtToSelf();
    java.lang.Integer var57 = new java.lang.Integer(100);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var57, (int)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    int var67 = org.apache.commons.math.util.MathUtils.gcd((int)var61, (int)var66);
    int var68 = org.apache.commons.math.util.MathUtils.sign((int)var67);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    java.lang.Double var70 = new java.lang.Double(10.0d);
    double[] var71 = new double[] { var69, var70};
    double var72 = org.apache.commons.math.util.MathUtils.safeNorm(var71);
    var55.setEntry((int)var68, (double)var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var74, var75};
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var81 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var76, var78);
    double var82 = var81.getConstantTerm();
    double var83 = org.apache.commons.math.util.MathUtils.log((double)var72, (double)var82);
    var6.set((double)var82);
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector(var1, var82);
    java.lang.Double var86 = new java.lang.Double(0.0d);
    java.lang.Double var87 = new java.lang.Double((-1.0d));
    java.lang.Double var88 = new java.lang.Double((-1.0d));
    int var89 = org.apache.commons.math.util.MathUtils.compareTo((double)var86, (double)var87, (double)var88);
    org.apache.commons.math.linear.RealVector var90 = var85.mapSubtractToSelf((double)var87);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);

  }

  public void test187() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    org.apache.commons.math.linear.RealVector var21 = var20.mapExpm1ToSelf();
    java.lang.Integer var22 = new java.lang.Integer(10);
    java.lang.Integer var23 = new java.lang.Integer(10);
    double var24 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var22, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var33 = var20.getSubVector((int)var23, (int)var29);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test188() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var51};
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var52);
    int var54 = var53.getDimension();
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    org.apache.commons.math.linear.RealVector var65 = var59.ebeDivide((org.apache.commons.math.linear.RealVector)var64);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(10.0d);
    java.lang.Double var68 = new java.lang.Double(100.0d);
    int var69 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    org.apache.commons.math.linear.RealVector var70 = var64.mapPowToSelf((double)var68);
    org.apache.commons.math.linear.ArrayRealVector var71 = new org.apache.commons.math.linear.ArrayRealVector(var54, var68);
    org.apache.commons.math.dfp.Dfp var72 = var41.power10((int)var54);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);

  }

  public void test189() throws Throwable {

    org.apache.commons.math.linear.ArrayRealVector var0 = new org.apache.commons.math.linear.ArrayRealVector();
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var1};
    org.apache.commons.math.linear.OpenMapRealVector var3 = new org.apache.commons.math.linear.OpenMapRealVector(var2);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = var3.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    boolean var16 = var15.isNaN();
    org.apache.commons.math.linear.RealVector var17 = var6.projection((org.apache.commons.math.linear.RealVector)var15);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = var15.ebeMultiply(var19);
    org.apache.commons.math.linear.RealVector var21 = var20.mapAsin();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var22 = var0.getDistance(var21);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test190() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var4, var5};
    org.apache.commons.math.linear.RealVector var7 = var2.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    boolean var16 = var15.isNaN();
    org.apache.commons.math.linear.RealVector var17 = var15.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var18 = var2.ebeMultiply(var17);
    int var19 = var2.getDimension();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var20};
    org.apache.commons.math.linear.OpenMapRealVector var22 = new org.apache.commons.math.linear.OpenMapRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var23};
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    org.apache.commons.math.linear.OpenMapRealVector var26 = var22.add(var25);
    org.apache.commons.math.linear.RealVector var27 = var25.mapAcosToSelf();
    double var28 = var2.dotProduct(var27);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test191() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    org.apache.commons.math.linear.AbstractRealVector var17 = var9.copy();
    double[] var18 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var19 = var9.ebeDivide(var18);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test192() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    boolean var19 = org.apache.commons.math.util.MathUtils.equals((double)var17, (double)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var15, (double)var18, (double)var22);
    org.apache.commons.math.linear.RealVector var25 = var6.append((double)var18);
    org.apache.commons.math.linear.RealVector var26 = var6.mapAcos();
    double[] var27 = var6.toArray();
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var28, (double)var31);
    org.apache.commons.math.linear.RealVector var36 = var6.mapMultiplyToSelf((double)var35);
    org.apache.commons.math.linear.RealVector var37 = var6.mapSqrtToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    org.apache.commons.math.linear.RealVector var53 = var47.mapPowToSelf((double)var51);
    java.lang.Double[] var54 = new java.lang.Double[] { var51};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var55.mapCbrtToSelf();
    java.lang.Integer var57 = new java.lang.Integer(100);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var57, (int)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    int var67 = org.apache.commons.math.util.MathUtils.gcd((int)var61, (int)var66);
    int var68 = org.apache.commons.math.util.MathUtils.sign((int)var67);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    java.lang.Double var70 = new java.lang.Double(10.0d);
    double[] var71 = new double[] { var69, var70};
    double var72 = org.apache.commons.math.util.MathUtils.safeNorm(var71);
    var55.setEntry((int)var68, (double)var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var74, var75};
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var81 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var76, var78);
    double var82 = var81.getConstantTerm();
    double var83 = org.apache.commons.math.util.MathUtils.log((double)var72, (double)var82);
    var6.set((double)var82);
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector(var1, var82);
    java.lang.Double var86 = new java.lang.Double(0.0d);
    java.lang.Double var87 = new java.lang.Double((-1.0d));
    java.lang.Double var88 = new java.lang.Double((-1.0d));
    int var89 = org.apache.commons.math.util.MathUtils.compareTo((double)var86, (double)var87, (double)var88);
    org.apache.commons.math.linear.RealVector var90 = var85.mapSubtractToSelf((double)var87);
    java.lang.Double[] var91 = new java.lang.Double[] { var87};
    org.apache.commons.math.linear.OpenMapRealVector var92 = new org.apache.commons.math.linear.OpenMapRealVector(var91);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var91 == null);

  }

  public void test193() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    java.lang.Double var32 = new java.lang.Double(10.0d);
    double[] var33 = new double[] { var31, var32};
    double var34 = org.apache.commons.math.util.MathUtils.safeNorm(var33);
    var17.setEntry((int)var30, (double)var34);
    double var36 = var17.getL1Norm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test194() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    org.apache.commons.math.linear.RealVector var16 = var4.mapExpm1ToSelf();
    java.lang.String var17 = var4.toString();
    int var18 = var4.getDimension();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test195() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn5();
    org.apache.commons.math.dfp.Dfp[] var12 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test196() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var25 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var23);
    java.lang.Double var26 = new java.lang.Double(0.0d);
    double[] var27 = new double[] { var26};
    var25.setData(var27);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test197() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    org.apache.commons.math.complex.Complex var13 = var12.exp();
    org.apache.commons.math.complex.Complex var14 = var13.tanh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test198() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    double[] var15 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var16 = var12.projection(var15);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test199() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var30.mapSinhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

//  public void test200() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    double var2 = var1.getArgument();
//    org.apache.commons.math.complex.Complex var3 = var1.exp();
//    org.apache.commons.math.complex.Complex var4 = var3.sinh();
//    boolean var5 = var3.isNaN();
//    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var6 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
//    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var7 = var6.copy();
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    java.lang.Double var9 = new java.lang.Double(0.0d);
//    double[] var10 = new double[] { var8, var9};
//    var6.incrementAll(var10);
//    java.lang.Double var12 = new java.lang.Double((-1.0d));
//    java.lang.Double var13 = new java.lang.Double(0.0d);
//    java.lang.Double var14 = new java.lang.Double((-1.0d));
//    double[] var15 = new double[] { var12, var13, var14};
//    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
//    java.lang.Double var17 = new java.lang.Double((-1.0d));
//    java.lang.Double var18 = new java.lang.Double(0.0d);
//    java.lang.Double var19 = new java.lang.Double((-1.0d));
//    double[] var20 = new double[] { var17, var18, var19};
//    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
//    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
//    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
//    org.apache.commons.math.linear.RealVector var24 = var16.mapInvToSelf();
//    org.apache.commons.math.linear.RealVector var25 = var16.mapCeilToSelf();
//    double var26 = var16.getL1Norm();
//    boolean var27 = var6.equals((java.lang.Object)var26);
//    org.apache.commons.math.complex.Complex var28 = var3.multiply((double)var26);
//    org.apache.commons.math.complex.Complex var29 = var3.conjugate();
//    
//    // Checks the contract:  equals-hashcode on var3 and var29
//    assertTrue("Contract failed: equals-hashcode on var3 and var29", var3.equals(var29) ? var3.hashCode() == var29.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var29 and var3
//    assertTrue("Contract failed: equals-hashcode on var29 and var3", var29.equals(var3) ? var29.hashCode() == var3.hashCode() : true);
//
//  }

  public void test201() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    double[] var3 = new double[] { var0, var1, var2};
    double var4 = org.apache.commons.math.util.MathUtils.safeNorm(var3);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test202() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var1};
    org.apache.commons.math.linear.OpenMapRealVector var3 = new org.apache.commons.math.linear.OpenMapRealVector(var2);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = var3.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var15};
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    org.apache.commons.math.linear.OpenMapRealVector var21 = var17.add(var20);
    double var22 = var13.dotProduct(var20);
    org.apache.commons.math.linear.RealVector var23 = var20.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var20.copy();
    org.apache.commons.math.linear.OpenMapRealVector var25 = var7.subtract((org.apache.commons.math.linear.RealVector)var20);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    double var34 = var7.getDistance(var33);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    java.lang.Double var36 = new java.lang.Double(0.0d);
    double[] var37 = new double[] { var35, var36};
    int var38 = org.apache.commons.math.util.MathUtils.hash(var37);
    boolean var39 = var33.equals((java.lang.Object)var38);
    var0.setBiasCorrected((boolean)var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test203() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double(0.0d);
    double[] var11 = new double[] { var9, var10};
    double var12 = var7.getValue(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    org.apache.commons.math.linear.RealVector var23 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    org.apache.commons.math.linear.RealVector var28 = var22.mapPowToSelf((double)var26);
    java.lang.Double[] var29 = new java.lang.Double[] { var26};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var30.mapCbrtToSelf();
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    int var42 = org.apache.commons.math.util.MathUtils.gcd((int)var36, (int)var41);
    int var43 = org.apache.commons.math.util.MathUtils.sign((int)var42);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    java.lang.Double var45 = new java.lang.Double(10.0d);
    double[] var46 = new double[] { var44, var45};
    double var47 = org.apache.commons.math.util.MathUtils.safeNorm(var46);
    var30.setEntry((int)var43, (double)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var49, var50};
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var56 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var51, var53);
    double var57 = var56.getConstantTerm();
    double var58 = org.apache.commons.math.util.MathUtils.log((double)var47, (double)var57);
    org.apache.commons.math.complex.ComplexField var59 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var60 = var59.getZero();
    double var61 = var60.getArgument();
    double var62 = var60.abs();
    java.lang.Long var63 = new java.lang.Long(100L);
    java.lang.Integer var64 = new java.lang.Integer(0);
    java.lang.Long var65 = new java.lang.Long(100L);
    int var66 = org.apache.commons.math.util.MathUtils.pow((int)var64, (long)var65);
    long var67 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var63, (long)var65);
    java.lang.Integer var68 = new java.lang.Integer(100);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    int var73 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var68, (int)var72);
    long var74 = org.apache.commons.math.util.MathUtils.pow((long)var67, (int)var73);
    double var75 = org.apache.commons.math.util.MathUtils.scalb((double)var62, (int)var73);
    boolean var76 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var12, (double)var47, (double)var75);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test204() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var29 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumsqImpl(var29);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var31 = var24.getSumLogImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test205() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double[] var15 = new java.lang.Double[] { var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    int var28 = var21.getMaxIndex();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    java.lang.Double var33 = new java.lang.Double(1.0d);
    java.lang.Double var34 = new java.lang.Double(1.0d);
    boolean var35 = org.apache.commons.math.util.MathUtils.equals((double)var33, (double)var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    boolean var40 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var31, (double)var34, (double)var38);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var41 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var28, var40);
    double[] var42 = var41.getStandardDeviation();
    int var43 = var41.getDimension();
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var47};
    org.apache.commons.math.linear.OpenMapRealVector var49 = new org.apache.commons.math.linear.OpenMapRealVector(var48);
    org.apache.commons.math.linear.OpenMapRealVector var50 = var46.add(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var51};
    org.apache.commons.math.linear.OpenMapRealVector var53 = new org.apache.commons.math.linear.OpenMapRealVector(var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    org.apache.commons.math.linear.OpenMapRealVector var56 = new org.apache.commons.math.linear.OpenMapRealVector(var55);
    org.apache.commons.math.linear.OpenMapRealVector var57 = var53.add(var56);
    double var58 = var49.dotProduct(var56);
    org.apache.commons.math.linear.RealVector var59 = var56.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var60 = var56.copy();
    int var61 = var60.getDimension();
    int var62 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var43, (int)var61);
    java.lang.Integer var63 = new java.lang.Integer(10);
    java.lang.Integer var64 = new java.lang.Integer(10);
    double var65 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var63, (int)var64);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    double var69 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var64, (int)var66);
    long var70 = org.apache.commons.math.util.MathUtils.factorial((int)var64);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var71 = var16.getSubVector((int)var62, (int)var64);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test206() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var30.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var45 = var30.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var46 = var30.mapSignum();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test207() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    org.apache.commons.math.dfp.DfpField var53 = new org.apache.commons.math.dfp.DfpField(var48);
    org.apache.commons.math.dfp.Dfp var54 = var53.getOne();
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    java.lang.Integer var59 = new java.lang.Integer(0);
    java.lang.Long var60 = new java.lang.Long(100L);
    int var61 = org.apache.commons.math.util.MathUtils.pow((int)var59, (long)var60);
    int var62 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var58, (int)var59);
    org.apache.commons.math.dfp.DfpField var63 = new org.apache.commons.math.dfp.DfpField(var58);
    org.apache.commons.math.dfp.Dfp var64 = var63.getOne();
    org.apache.commons.math.dfp.Dfp var65 = var53.newDfp(var64);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    java.lang.Double var67 = new java.lang.Double(10.0d);
    java.lang.Double var68 = new java.lang.Double(100.0d);
    int var69 = org.apache.commons.math.util.MathUtils.compareTo((double)var66, (double)var67, (double)var68);
    java.lang.Integer var70 = new java.lang.Integer(0);
    java.lang.Long var71 = new java.lang.Long(100L);
    int var72 = org.apache.commons.math.util.MathUtils.pow((int)var70, (long)var71);
    int var73 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var69, (int)var70);
    org.apache.commons.math.dfp.DfpField var74 = new org.apache.commons.math.dfp.DfpField(var69);
    org.apache.commons.math.dfp.Dfp var75 = var74.getOne();
    boolean var76 = var64.greaterThan(var75);
    org.apache.commons.math.dfp.Dfp var77 = var44.remainder(var75);
    org.apache.commons.math.dfp.Dfp var78 = new org.apache.commons.math.dfp.Dfp(var77);
    boolean var79 = var34.equals((java.lang.Object)var78);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);

  }

  public void test208() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var20.append((double)var34);
    org.apache.commons.math.linear.RealVector var39 = var20.mapUlp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test209() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    org.apache.commons.math.dfp.Dfp var25 = var24.ceil();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    java.lang.Integer var30 = new java.lang.Integer(0);
    java.lang.Long var31 = new java.lang.Long(100L);
    int var32 = org.apache.commons.math.util.MathUtils.pow((int)var30, (long)var31);
    int var33 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var29, (int)var30);
    org.apache.commons.math.dfp.DfpField var34 = new org.apache.commons.math.dfp.DfpField(var29);
    org.apache.commons.math.dfp.Dfp var35 = var34.getOne();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    java.lang.Integer var40 = new java.lang.Integer(0);
    java.lang.Long var41 = new java.lang.Long(100L);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
    int var43 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var39, (int)var40);
    org.apache.commons.math.dfp.DfpField var44 = new org.apache.commons.math.dfp.DfpField(var39);
    org.apache.commons.math.dfp.Dfp var45 = var44.getOne();
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
    org.apache.commons.math.dfp.Dfp var56 = var44.newDfp(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    java.lang.Integer var61 = new java.lang.Integer(0);
    java.lang.Long var62 = new java.lang.Long(100L);
    int var63 = org.apache.commons.math.util.MathUtils.pow((int)var61, (long)var62);
    int var64 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var60, (int)var61);
    org.apache.commons.math.dfp.DfpField var65 = new org.apache.commons.math.dfp.DfpField(var60);
    org.apache.commons.math.dfp.Dfp var66 = var65.getOne();
    boolean var67 = var55.greaterThan(var66);
    org.apache.commons.math.dfp.Dfp var68 = var35.remainder(var66);
    java.lang.Byte var69 = new java.lang.Byte((byte)10);
    byte var70 = org.apache.commons.math.util.MathUtils.sign((byte)var69);
    org.apache.commons.math.dfp.Dfp var71 = var35.newInstance((byte)var70);
    boolean var72 = var24.unequal(var35);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);

  }

  public void test210() throws Throwable {

    org.apache.commons.math.linear.OpenMapRealVector var0 = new org.apache.commons.math.linear.OpenMapRealVector();
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(0.0d);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var1, var2, var3};
    org.apache.commons.math.linear.ArrayRealVector var5 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    org.apache.commons.math.linear.RealVector var11 = var5.ebeDivide((org.apache.commons.math.linear.RealVector)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.linear.RealVector var16 = var10.mapPowToSelf((double)var14);
    java.lang.Double[] var17 = new java.lang.Double[] { var14};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapFloorToSelf();
    int var21 = var18.getDimension();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var22 = var0.add((org.apache.commons.math.linear.RealVector)var18);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test211() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    int var17 = var16.getDimension();
    java.util.Iterator var18 = var16.sparseIterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test212() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var17 = var9.mapCeil();
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    org.apache.commons.math.linear.RealVector var34 = var28.ebeDivide((org.apache.commons.math.linear.RealVector)var33);
    org.apache.commons.math.linear.RealVector var35 = var28.mapRintToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var9.set((int)var23, var28);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test213() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    org.apache.commons.math.complex.Complex var13 = var12.exp();
    org.apache.commons.math.complex.Complex var14 = var13.sin();
    org.apache.commons.math.complex.Complex var15 = var14.sqrt1z();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test214() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    double var44 = org.apache.commons.math.util.MathUtils.cosh((double)var43);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);

  }

  public void test215() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double(1.0d);
    java.lang.Double var4 = new java.lang.Double(0.0d);
    double[] var5 = new double[] { var3, var4};
    double[] var6 = new double[] { };
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var7, var8, var9};
    double var11 = org.apache.commons.math.util.MathUtils.distanceInf(var6, var10);
    double var12 = var2.evaluate(var5, (double)var11);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    java.lang.Double var14 = new java.lang.Double(10.0d);
    double[] var15 = new double[] { var13, var14};
    double var16 = var2.evaluate(var15);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test216() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var4, var5};
    org.apache.commons.math.linear.RealVector var7 = var2.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = var10.add(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    boolean var16 = var15.isNaN();
    org.apache.commons.math.linear.RealVector var17 = var15.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var18 = var2.ebeMultiply(var17);
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(1.0d);
    double[] var22 = new double[] { var19, var20, var21};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var23 = var2.getLInfDistance(var22);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test217() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(1.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Integer var4 = new java.lang.Integer(100);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(10.0d);
    java.lang.Double var7 = new java.lang.Double(100.0d);
    int var8 = org.apache.commons.math.util.MathUtils.compareTo((double)var5, (double)var6, (double)var7);
    int var9 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var4, (int)var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.gcd((int)var8, (int)var13);
    int var15 = org.apache.commons.math.util.MathUtils.sign((int)var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double(1.0d);
    java.lang.Double var22 = new java.lang.Double(1.0d);
    boolean var23 = org.apache.commons.math.util.MathUtils.equals((double)var21, (double)var22);
    org.apache.commons.math.linear.RealVector var24 = var20.mapDivide((double)var22);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var32};
    org.apache.commons.math.linear.OpenMapRealVector var34 = new org.apache.commons.math.linear.OpenMapRealVector(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var35};
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    org.apache.commons.math.linear.OpenMapRealVector var38 = var34.add(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    boolean var40 = var39.isNaN();
    org.apache.commons.math.linear.RealVector var41 = var30.projection((org.apache.commons.math.linear.RealVector)var39);
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var43 = var42.getSparsity();
    org.apache.commons.math.linear.RealVector var44 = var42.mapSinhToSelf();
    boolean var45 = var39.equals((java.lang.Object)var44);
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var20, var45);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.NonMonotonousSequenceException with canonical name: org.apache.commons.math.exception.NonMonotonousSequenceException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.util.MathUtils.checkOrder(var3, (int)var14, (boolean)var45);
      fail("Expected exception of type org.apache.commons.math.exception.NonMonotonousSequenceException");
    } catch (org.apache.commons.math.exception.NonMonotonousSequenceException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test218() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var25 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = var26.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var26);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    double[] var32 = new double[] { };
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var33, var34, var35};
    double var37 = org.apache.commons.math.util.MathUtils.distanceInf(var32, var36);
    double var38 = var28.evaluate(var31, (double)var37);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var39 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var28};
    var24.setSumImpl(var39);
    org.apache.commons.math.linear.RealMatrix var41 = var24.getCovariance();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);

  }

  public void test219() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var17 = var9.mapCeil();
    org.apache.commons.math.linear.RealVector var18 = var9.mapUlpToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test220() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    org.apache.commons.math.dfp.Dfp var40 = var38.negate();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test221() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var27};
    org.apache.commons.math.linear.OpenMapRealVector var29 = new org.apache.commons.math.linear.OpenMapRealVector(var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    org.apache.commons.math.linear.OpenMapRealVector var33 = var29.add(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    org.apache.commons.math.linear.OpenMapRealVector var40 = var36.add(var39);
    double var41 = var32.dotProduct(var39);
    org.apache.commons.math.linear.RealVector var42 = var39.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var43 = var39.copy();
    int var44 = var43.getDimension();
    int var45 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(0.0d);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var51, var52, var53};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var50.ebeDivide((org.apache.commons.math.linear.RealVector)var55);
    int var57 = var50.getMaxIndex();
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    java.lang.Double var62 = new java.lang.Double(1.0d);
    java.lang.Double var63 = new java.lang.Double(1.0d);
    boolean var64 = org.apache.commons.math.util.MathUtils.equals((double)var62, (double)var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    boolean var69 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var60, (double)var63, (double)var67);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var70 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var57, var69);
    double[] var71 = var70.getStandardDeviation();
    int var72 = var70.getDimension();
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    double[] var74 = new double[] { var73};
    org.apache.commons.math.linear.OpenMapRealVector var75 = new org.apache.commons.math.linear.OpenMapRealVector(var74);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    double[] var77 = new double[] { var76};
    org.apache.commons.math.linear.OpenMapRealVector var78 = new org.apache.commons.math.linear.OpenMapRealVector(var77);
    org.apache.commons.math.linear.OpenMapRealVector var79 = var75.add(var78);
    java.lang.Double var80 = new java.lang.Double((-1.0d));
    double[] var81 = new double[] { var80};
    org.apache.commons.math.linear.OpenMapRealVector var82 = new org.apache.commons.math.linear.OpenMapRealVector(var81);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    double[] var84 = new double[] { var83};
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector(var84);
    org.apache.commons.math.linear.OpenMapRealVector var86 = var82.add(var85);
    double var87 = var78.dotProduct(var85);
    org.apache.commons.math.linear.RealVector var88 = var85.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var89 = var85.copy();
    int var90 = var89.getDimension();
    int var91 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var72, (int)var90);
    long var92 = org.apache.commons.math.util.MathUtils.binomialCoefficient((int)var44, (int)var90);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var89 == null);

  }

  public void test222() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    double var17 = var11.getL1Distance(var16);
    org.apache.commons.math.linear.RealVector var18 = var11.mapUlpToSelf();
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var1, var11);
    org.apache.commons.math.linear.RealVector var20 = var19.mapSqrtToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test223() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp[] var10 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test224() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var6);
    org.apache.commons.math.linear.OpenMapRealVector var9 = var8.copy();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var10, var11, var12};
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.ArrayRealVector var19 = new org.apache.commons.math.linear.ArrayRealVector(var18);
    org.apache.commons.math.linear.RealVector var20 = var14.ebeDivide((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    org.apache.commons.math.linear.RealVector var25 = var19.mapPowToSelf((double)var23);
    java.lang.Double[] var26 = new java.lang.Double[] { var23};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var27.mapCbrtToSelf();
    java.lang.Integer var29 = new java.lang.Integer(100);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(10.0d);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    int var33 = org.apache.commons.math.util.MathUtils.compareTo((double)var30, (double)var31, (double)var32);
    int var34 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var29, (int)var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    int var39 = org.apache.commons.math.util.MathUtils.gcd((int)var33, (int)var38);
    int var40 = org.apache.commons.math.util.MathUtils.sign((int)var39);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    java.lang.Double var42 = new java.lang.Double(10.0d);
    double[] var43 = new double[] { var41, var42};
    double var44 = org.apache.commons.math.util.MathUtils.safeNorm(var43);
    var27.setEntry((int)var40, (double)var44);
    int var46 = var27.getMaxIndex();
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.subAndCheck((int)var46, (int)var50);
    double var52 = org.apache.commons.math.util.MathUtils.factorialLog((int)var50);
    org.apache.commons.math.linear.OpenMapRealVector var53 = var8.append((double)var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Float var58 = new java.lang.Float(0.0f);
    java.lang.Float var59 = new java.lang.Float((-1.0f));
    boolean var60 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var58, (float)var59);
    java.lang.Float var61 = new java.lang.Float(100.0f);
    java.lang.Float var62 = new java.lang.Float(0.0f);
    java.lang.Integer var63 = new java.lang.Integer(0);
    boolean var64 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var61, (float)var62, (int)var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(0.0d);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var65, var66, var67};
    org.apache.commons.math.linear.ArrayRealVector var69 = new org.apache.commons.math.linear.ArrayRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(0.0d);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var70, var71, var72};
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var73);
    org.apache.commons.math.linear.RealVector var75 = var69.ebeDivide((org.apache.commons.math.linear.RealVector)var74);
    org.apache.commons.math.linear.RealVector var76 = var69.mapAtanToSelf();
    java.lang.Integer var77 = new java.lang.Integer(100);
    java.lang.Double var78 = new java.lang.Double((-1.0d));
    java.lang.Double var79 = new java.lang.Double(10.0d);
    java.lang.Double var80 = new java.lang.Double(100.0d);
    int var81 = org.apache.commons.math.util.MathUtils.compareTo((double)var78, (double)var79, (double)var80);
    int var82 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var77, (int)var81);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    int var87 = org.apache.commons.math.util.MathUtils.gcd((int)var81, (int)var86);
    int var88 = org.apache.commons.math.util.MathUtils.sign((int)var87);
    java.lang.Double var89 = new java.lang.Double(100.0d);
    java.lang.Double var90 = new java.lang.Double(10.0d);
    double[] var91 = new double[] { var89, var90};
    double var92 = org.apache.commons.math.util.MathUtils.safeNorm(var91);
    var69.setEntry((int)var88, (double)var92);
    boolean var94 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var59, (float)var62, (int)var88);
    boolean var95 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var52, (double)var54, (int)var88);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var91 == null);

  }

  public void test225() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getSumsqImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test226() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Byte var32 = new java.lang.Byte((byte)0);
    org.apache.commons.math.dfp.Dfp var33 = var30.newInstance((byte)var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    org.apache.commons.math.linear.OpenMapRealVector var37 = var36.unitVector();
    org.apache.commons.math.linear.RealVector var38 = var36.mapCosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var36);
    boolean var40 = var30.equals((java.lang.Object)var39);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);

  }

  public void test227() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    org.apache.commons.math.linear.RealVector var36 = var35.mapCeilToSelf();
    double[] var37 = new double[] { };
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    java.lang.Integer var42 = new java.lang.Integer(0);
    java.lang.Long var43 = new java.lang.Long(100L);
    int var44 = org.apache.commons.math.util.MathUtils.pow((int)var42, (long)var43);
    int var45 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var41, (int)var42);
    org.apache.commons.math.dfp.DfpField var46 = new org.apache.commons.math.dfp.DfpField(var41);
    org.apache.commons.math.dfp.Dfp var47 = var46.getOne();
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    java.lang.Integer var52 = new java.lang.Integer(0);
    java.lang.Long var53 = new java.lang.Long(100L);
    int var54 = org.apache.commons.math.util.MathUtils.pow((int)var52, (long)var53);
    int var55 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var51, (int)var52);
    org.apache.commons.math.dfp.DfpField var56 = new org.apache.commons.math.dfp.DfpField(var51);
    org.apache.commons.math.dfp.Dfp var57 = var56.getOne();
    org.apache.commons.math.dfp.Dfp var58 = var46.newDfp(var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    java.lang.Integer var63 = new java.lang.Integer(0);
    java.lang.Long var64 = new java.lang.Long(100L);
    int var65 = org.apache.commons.math.util.MathUtils.pow((int)var63, (long)var64);
    int var66 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var62, (int)var63);
    org.apache.commons.math.dfp.DfpField var67 = new org.apache.commons.math.dfp.DfpField(var62);
    org.apache.commons.math.dfp.Dfp var68 = var67.getOne();
    boolean var69 = var57.greaterThan(var68);
    org.apache.commons.math.dfp.Dfp var70 = new org.apache.commons.math.dfp.Dfp(var68);
    boolean var71 = var68.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var72 = new org.apache.commons.math.linear.ArrayRealVector(var37, var71);
    org.apache.commons.math.linear.RealVector var73 = var72.mapCeilToSelf();
    org.apache.commons.math.linear.ArrayRealVector var74 = var35.append(var72);
    double var75 = var72.getNorm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);

  }

  public void test228() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var30.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var45 = var30.mapTanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test229() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double(100.0d);
    double[] var2 = new double[] { var0, var1};
    org.apache.commons.math.complex.ComplexField var3 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var4 = var3.getZero();
    org.apache.commons.math.complex.Complex var5 = var4.sinh();
    double var6 = var4.getImaginary();
    double var7 = org.apache.commons.math.util.MathUtils.indicator((double)var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    org.apache.commons.math.linear.RealVector var19 = var12.mapLog10ToSelf();
    java.lang.Double var20 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiplyToSelf((double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.indicator((double)var20);
    java.lang.Double var23 = new java.lang.Double(0.0d);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var6, (double)var22, (double)var23);
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var2, var24);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    java.lang.Double var27 = new java.lang.Double(0.0d);
    double[] var28 = new double[] { var26, var27};
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.RealVector var40 = var33.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var41 = var33.mapInvToSelf();
    double[] var42 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var33, var42);
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var28, var43);
    double var45 = var44.getL1Norm();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var46 = var25.getL1Distance(var44);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test230() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double(0.0d);
    double[] var11 = new double[] { var9, var10};
    double var12 = var7.getValue(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Integer var17 = new java.lang.Integer(0);
    java.lang.Long var18 = new java.lang.Long(100L);
    int var19 = org.apache.commons.math.util.MathUtils.pow((int)var17, (long)var18);
    int var20 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var16, (int)var17);
    org.apache.commons.math.dfp.DfpField var21 = new org.apache.commons.math.dfp.DfpField(var16);
    org.apache.commons.math.dfp.Dfp var22 = var21.getOne();
    int var23 = var21.getRadixDigits();
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    java.lang.Integer var28 = new java.lang.Integer(0);
    java.lang.Long var29 = new java.lang.Long(100L);
    int var30 = org.apache.commons.math.util.MathUtils.pow((int)var28, (long)var29);
    int var31 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var27, (int)var28);
    org.apache.commons.math.dfp.DfpField var32 = new org.apache.commons.math.dfp.DfpField(var27);
    org.apache.commons.math.dfp.Dfp var33 = var32.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var34 = var32.getRoundingMode();
    var21.setRoundingMode(var34);
    boolean var36 = var7.equals((java.lang.Object)var34);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    org.apache.commons.math.linear.RealVector var47 = var41.ebeDivide((org.apache.commons.math.linear.RealVector)var46);
    org.apache.commons.math.linear.RealVector var48 = var41.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var49 = var41.mapSqrtToSelf();
    org.apache.commons.math.linear.RealVector var50 = var41.mapCbrtToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var51 = var7.getValue(var50);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test231() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    org.apache.commons.math.linear.RealVector var36 = var35.mapLog10ToSelf();
    java.lang.Double var37 = new java.lang.Double(1.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    double[] var39 = new double[] { var37, var38};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var40 = var35.ebeDivide(var39);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

//  public void test232() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(10.0d);
//    java.lang.Double var2 = new java.lang.Double(100.0d);
//    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
//    java.lang.Integer var4 = new java.lang.Integer(0);
//    java.lang.Long var5 = new java.lang.Long(100L);
//    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
//    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
//    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
//    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
//    java.lang.Double var10 = new java.lang.Double((-1.0d));
//    java.lang.Double var11 = new java.lang.Double(10.0d);
//    java.lang.Double var12 = new java.lang.Double(100.0d);
//    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
//    java.lang.Integer var14 = new java.lang.Integer(0);
//    java.lang.Long var15 = new java.lang.Long(100L);
//    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
//    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
//    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
//    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
//    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
//    java.lang.Double var21 = new java.lang.Double((-1.0d));
//    java.lang.Double var22 = new java.lang.Double(10.0d);
//    java.lang.Double var23 = new java.lang.Double(100.0d);
//    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
//    java.lang.Integer var25 = new java.lang.Integer(0);
//    java.lang.Long var26 = new java.lang.Long(100L);
//    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
//    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
//    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
//    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
//    boolean var31 = var19.greaterThan(var30);
//    java.lang.Double var32 = new java.lang.Double((-1.0d));
//    java.lang.Double var33 = new java.lang.Double(10.0d);
//    java.lang.Double var34 = new java.lang.Double(100.0d);
//    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
//    java.lang.Integer var36 = new java.lang.Integer(0);
//    java.lang.Long var37 = new java.lang.Long(100L);
//    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
//    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
//    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
//    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
//    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
//    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
//    java.lang.Integer var44 = new java.lang.Integer(100);
//    java.lang.Double var45 = new java.lang.Double((-1.0d));
//    java.lang.Double var46 = new java.lang.Double(10.0d);
//    java.lang.Double var47 = new java.lang.Double(100.0d);
//    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
//    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
//    org.apache.commons.math.dfp.Dfp var50 = var43.divide((int)var48);
//    
//    // Checks the contract:  var50.equals(var50)
//    assertTrue("Contract failed: var50.equals(var50)", var50.equals(var50));
//
//  }

  public void test233() throws Throwable {

    java.lang.Short var0 = new java.lang.Short((short)10);
    short var1 = org.apache.commons.math.util.MathUtils.indicator((short)var0);

  }

  public void test234() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = var9.rint();
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    java.lang.Integer var48 = new java.lang.Integer(0);
    java.lang.Long var49 = new java.lang.Long(100L);
    int var50 = org.apache.commons.math.util.MathUtils.pow((int)var48, (long)var49);
    int var51 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var47, (int)var48);
    org.apache.commons.math.dfp.DfpField var52 = new org.apache.commons.math.dfp.DfpField(var47);
    org.apache.commons.math.dfp.Dfp var53 = var52.getOne();
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    org.apache.commons.math.dfp.DfpField var62 = new org.apache.commons.math.dfp.DfpField(var57);
    org.apache.commons.math.dfp.Dfp var63 = var62.getOne();
    org.apache.commons.math.dfp.Dfp var64 = var52.newDfp(var63);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    int var68 = org.apache.commons.math.util.MathUtils.compareTo((double)var65, (double)var66, (double)var67);
    java.lang.Integer var69 = new java.lang.Integer(0);
    java.lang.Long var70 = new java.lang.Long(100L);
    int var71 = org.apache.commons.math.util.MathUtils.pow((int)var69, (long)var70);
    int var72 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var68, (int)var69);
    org.apache.commons.math.dfp.DfpField var73 = new org.apache.commons.math.dfp.DfpField(var68);
    org.apache.commons.math.dfp.Dfp var74 = var73.getOne();
    boolean var75 = var63.greaterThan(var74);
    java.lang.Integer var76 = new java.lang.Integer(100);
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    int var81 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var76, (int)var80);
    org.apache.commons.math.dfp.Dfp var82 = org.apache.commons.math.dfp.DfpMath.pow(var74, (int)var81);
    org.apache.commons.math.dfp.Dfp var83 = org.apache.commons.math.dfp.DfpMath.pow(var43, var82);
    org.apache.commons.math.dfp.Dfp var84 = org.apache.commons.math.dfp.DfpMath.asin(var83);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test235() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    double var39 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var37);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    java.lang.Double var41 = new java.lang.Double(0.0d);
    double[] var42 = new double[] { var40, var41};
    int var43 = org.apache.commons.math.util.MathUtils.hash(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    java.lang.Integer var48 = new java.lang.Integer(0);
    java.lang.Long var49 = new java.lang.Long(100L);
    int var50 = org.apache.commons.math.util.MathUtils.pow((int)var48, (long)var49);
    int var51 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var47, (int)var48);
    org.apache.commons.math.dfp.DfpField var52 = new org.apache.commons.math.dfp.DfpField(var47);
    org.apache.commons.math.dfp.Dfp var53 = var52.getOne();
    int var54 = var53.log10K();
    int var55 = org.apache.commons.math.util.MathUtils.indicator((int)var54);
    long var56 = org.apache.commons.math.util.MathUtils.factorial((int)var54);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var43, (long)var56);
    long var58 = org.apache.commons.math.util.MathUtils.binomialCoefficient((int)var37, (int)var57);
    double var59 = org.apache.commons.math.util.MathUtils.factorialLog((int)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);

  }

  public void test236() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    org.apache.commons.math.linear.RealVector var23 = var17.mapPowToSelf((double)var21);
    java.lang.Double[] var24 = new java.lang.Double[] { var21};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var25.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var25.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var28 = var7.projection(var27);
    double[] var29 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var30 = var7.ebeMultiply(var29);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test237() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    org.apache.commons.math.complex.Complex var4 = var3.sinh();
    boolean var5 = var3.isNaN();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var6 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var7 = var6.copy();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    var6.incrementAll(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var24 = var16.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var25 = var16.mapCeilToSelf();
    double var26 = var16.getL1Norm();
    boolean var27 = var6.equals((java.lang.Object)var26);
    org.apache.commons.math.complex.Complex var28 = var3.multiply((double)var26);
    double var29 = var28.getArgument();
    org.apache.commons.math.complex.Complex var30 = var28.exp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test238() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapLog1pToSelf();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    org.apache.commons.math.linear.OpenMapRealVector var10 = var6.add(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    double var18 = var9.dotProduct(var16);
    org.apache.commons.math.linear.RealVector var19 = var16.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.copy();
    org.apache.commons.math.linear.RealMatrix var21 = var2.outerProduct((org.apache.commons.math.linear.RealVector)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var34 = var26.mapSqrtToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var35 = var2.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

//  public void test239() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    double var2 = var1.getArgument();
//    org.apache.commons.math.complex.Complex var3 = var1.exp();
//    org.apache.commons.math.complex.Complex var4 = var3.sinh();
//    boolean var5 = var3.isNaN();
//    double[] var6 = new double[] { };
//    java.lang.Double var7 = new java.lang.Double(0.0d);
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    java.lang.Double var9 = new java.lang.Double(0.0d);
//    double[] var10 = new double[] { var7, var8, var9};
//    double var11 = org.apache.commons.math.util.MathUtils.distanceInf(var6, var10);
//    java.lang.Double var12 = new java.lang.Double(0.0d);
//    java.lang.Double var13 = new java.lang.Double((-1.0d));
//    java.lang.Double var14 = new java.lang.Double((-1.0d));
//    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
//    org.apache.commons.math.complex.Complex var16 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var11, (double)var12);
//    org.apache.commons.math.complex.Complex var17 = var16.cos();
//    org.apache.commons.math.complex.Complex var18 = var3.add(var16);
//    
//    // Checks the contract:  equals-hashcode on var3 and var17
//    assertTrue("Contract failed: equals-hashcode on var3 and var17", var3.equals(var17) ? var3.hashCode() == var17.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var3
//    assertTrue("Contract failed: equals-hashcode on var17 and var3", var17.equals(var3) ? var17.hashCode() == var3.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var18
//    assertTrue("Contract failed: equals-hashcode on var17 and var18", var17.equals(var18) ? var17.hashCode() == var18.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var18 and var17
//    assertTrue("Contract failed: equals-hashcode on var18 and var17", var18.equals(var17) ? var18.hashCode() == var17.hashCode() : true);
//
//  }

  public void test240() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    org.apache.commons.math.linear.RealVector var29 = var23.ebeDivide((org.apache.commons.math.linear.RealVector)var28);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    double[] var33 = new double[] { var30, var31, var32};
    double var34 = var28.getL1Distance(var33);
    org.apache.commons.math.linear.RealVector var35 = var28.mapSignum();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    org.apache.commons.math.linear.RealVector var46 = var40.ebeDivide((org.apache.commons.math.linear.RealVector)var45);
    org.apache.commons.math.linear.ArrayRealVector var47 = var28.add(var40);
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector((org.apache.commons.math.linear.RealVector)var40);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var49 = var17.getL1Distance(var40);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test241() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Integer var44 = new java.lang.Integer(0);
    java.lang.Long var45 = new java.lang.Long(100L);
    int var46 = org.apache.commons.math.util.MathUtils.pow((int)var44, (long)var45);
    int var47 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var43, (int)var44);
    org.apache.commons.math.dfp.DfpField var48 = new org.apache.commons.math.dfp.DfpField(var43);
    org.apache.commons.math.dfp.Dfp var49 = var48.getOne();
    int var50 = var48.getRadixDigits();
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    org.apache.commons.math.dfp.Dfp var60 = var59.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var61 = var59.getRoundingMode();
    var48.setRoundingMode(var61);
    int var63 = var48.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var64 = org.apache.commons.math.dfp.DfpMath.pow(var39, (int)var63);
    org.apache.commons.math.dfp.DfpField var65 = var39.getField();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);

  }

  public void test242() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.tan();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sqrt1z();
    org.apache.commons.math.complex.Complex var7 = var5.cosh();
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var9};
    org.apache.commons.math.linear.OpenMapRealVector var11 = new org.apache.commons.math.linear.OpenMapRealVector(var10);
    int var12 = var11.getDimension();
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double(0.0d);
    double[] var15 = new double[] { var13, var14};
    org.apache.commons.math.linear.RealVector var16 = var11.add(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var20};
    org.apache.commons.math.linear.OpenMapRealVector var22 = new org.apache.commons.math.linear.OpenMapRealVector(var21);
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.add(var22);
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    boolean var25 = var24.isNaN();
    org.apache.commons.math.linear.RealVector var26 = var24.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var27 = var11.ebeMultiply(var26);
    int var28 = var11.getDimension();
    java.util.List var29 = var7.nthRoot((int)var28);
    org.apache.commons.math.complex.Complex var30 = var3.subtract(var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test243() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Float var3 = new java.lang.Float(1.0f);
    java.lang.Float var4 = new java.lang.Float(0.0f);
    boolean var5 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var3, (float)var4);
    java.lang.Float var6 = new java.lang.Float(0.0f);
    java.lang.Float var7 = new java.lang.Float((-1.0f));
    boolean var8 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var7);
    java.lang.Integer var9 = new java.lang.Integer(0);
    java.lang.Long var10 = new java.lang.Long(100L);
    int var11 = org.apache.commons.math.util.MathUtils.pow((int)var9, (long)var10);
    float var12 = org.apache.commons.math.util.MathUtils.round((float)var6, (int)var9);
    java.lang.Float var13 = new java.lang.Float(0.0f);
    boolean var14 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var13);
    java.lang.Float var15 = new java.lang.Float(1.0f);
    java.lang.Float var16 = new java.lang.Float(100.0f);
    java.lang.Float var17 = new java.lang.Float(0.0f);
    java.lang.Integer var18 = new java.lang.Integer(0);
    boolean var19 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var16, (float)var17, (int)var18);
    boolean var20 = org.apache.commons.math.util.MathUtils.equals((float)var15, (float)var17);
    java.lang.Float var21 = new java.lang.Float(0.0f);
    java.lang.Float var22 = new java.lang.Float((-1.0f));
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var21, (float)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    float var27 = org.apache.commons.math.util.MathUtils.round((float)var21, (int)var24);
    java.lang.Float var28 = new java.lang.Float(0.0f);
    java.lang.Float var29 = new java.lang.Float((-1.0f));
    boolean var30 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var28, (float)var29);
    java.lang.Integer var31 = new java.lang.Integer(0);
    java.lang.Long var32 = new java.lang.Long(100L);
    int var33 = org.apache.commons.math.util.MathUtils.pow((int)var31, (long)var32);
    float var34 = org.apache.commons.math.util.MathUtils.round((float)var28, (int)var31);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var35, var36, var37};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var39.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    int var46 = var39.getMaxIndex();
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    java.lang.Double var51 = new java.lang.Double(1.0d);
    java.lang.Double var52 = new java.lang.Double(1.0d);
    boolean var53 = org.apache.commons.math.util.MathUtils.equals((double)var51, (double)var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    boolean var58 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var49, (double)var52, (double)var56);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var59 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var46, var58);
    boolean var60 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var27, (float)var28, (int)var46);
    java.lang.Float var61 = new java.lang.Float(1.0f);
    java.lang.Float var62 = new java.lang.Float(100.0f);
    java.lang.Float var63 = new java.lang.Float(0.0f);
    java.lang.Integer var64 = new java.lang.Integer(0);
    boolean var65 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var62, (float)var63, (int)var64);
    boolean var66 = org.apache.commons.math.util.MathUtils.equals((float)var61, (float)var63);
    boolean var67 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var27, (float)var61);
    java.lang.Float var68 = new java.lang.Float(100.0f);
    java.lang.Float var69 = new java.lang.Float(0.0f);
    java.lang.Integer var70 = new java.lang.Integer(0);
    boolean var71 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var68, (float)var69, (int)var70);
    boolean var72 = org.apache.commons.math.util.MathUtils.equals((float)var15, (float)var27, (float)var69);
    boolean var73 = org.apache.commons.math.util.MathUtils.equals((float)var13, (float)var69);
    java.lang.Float var74 = new java.lang.Float(0.0f);
    java.lang.Float var75 = new java.lang.Float((-1.0f));
    boolean var76 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var74, (float)var75);
    java.lang.Integer var77 = new java.lang.Integer(0);
    java.lang.Long var78 = new java.lang.Long(100L);
    int var79 = org.apache.commons.math.util.MathUtils.pow((int)var77, (long)var78);
    float var80 = org.apache.commons.math.util.MathUtils.round((float)var74, (int)var77);
    boolean var81 = org.apache.commons.math.util.MathUtils.equals((float)var4, (float)var13, (float)var74);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test244() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var10 = var7.mapCos();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    org.apache.commons.math.linear.OpenMapRealVector var24 = var20.add(var23);
    double var25 = var16.dotProduct(var23);
    org.apache.commons.math.linear.RealVector var26 = var23.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.copy();
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var23.mapMultiply((double)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    double var47 = var38.dotProduct(var45);
    org.apache.commons.math.linear.RealVector var48 = var23.mapMultiplyToSelf((double)var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var7.append(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var50};
    org.apache.commons.math.linear.OpenMapRealVector var52 = new org.apache.commons.math.linear.OpenMapRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var53};
    org.apache.commons.math.linear.OpenMapRealVector var55 = new org.apache.commons.math.linear.OpenMapRealVector(var54);
    org.apache.commons.math.linear.OpenMapRealVector var56 = var52.add(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var57};
    org.apache.commons.math.linear.OpenMapRealVector var59 = new org.apache.commons.math.linear.OpenMapRealVector(var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var60};
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var61);
    org.apache.commons.math.linear.OpenMapRealVector var63 = var59.add(var62);
    double var64 = var55.dotProduct(var62);
    org.apache.commons.math.linear.RealVector var65 = var62.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var66 = var62.copy();
    java.lang.Double var67 = new java.lang.Double(0.0d);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    org.apache.commons.math.linear.RealVector var71 = var62.mapMultiply((double)var68);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var72};
    org.apache.commons.math.linear.OpenMapRealVector var74 = new org.apache.commons.math.linear.OpenMapRealVector(var73);
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var75};
    org.apache.commons.math.linear.OpenMapRealVector var77 = new org.apache.commons.math.linear.OpenMapRealVector(var76);
    org.apache.commons.math.linear.OpenMapRealVector var78 = var74.add(var77);
    java.lang.Double var79 = new java.lang.Double((-1.0d));
    double[] var80 = new double[] { var79};
    org.apache.commons.math.linear.OpenMapRealVector var81 = new org.apache.commons.math.linear.OpenMapRealVector(var80);
    java.lang.Double var82 = new java.lang.Double((-1.0d));
    double[] var83 = new double[] { var82};
    org.apache.commons.math.linear.OpenMapRealVector var84 = new org.apache.commons.math.linear.OpenMapRealVector(var83);
    org.apache.commons.math.linear.OpenMapRealVector var85 = var81.add(var84);
    double var86 = var77.dotProduct(var84);
    org.apache.commons.math.linear.RealVector var87 = var62.mapMultiplyToSelf((double)var86);
    org.apache.commons.math.linear.OpenMapRealVector var88 = var7.add(var62);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var85 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);

  }

  public void test245() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    org.apache.commons.math.dfp.Dfp var40 = org.apache.commons.math.dfp.DfpMath.atan(var39);
    double var41 = var39.toDouble();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test246() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    java.lang.Integer var1 = new java.lang.Integer(0);
    java.lang.Long var2 = new java.lang.Long(100L);
    int var3 = org.apache.commons.math.util.MathUtils.pow((int)var1, (long)var2);
    long var4 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var0, (long)var2);
    java.lang.Long var5 = new java.lang.Long(1L);
    long var6 = org.apache.commons.math.util.MathUtils.pow((long)var2, (long)var5);

  }

  public void test247() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    org.apache.commons.math.dfp.Dfp var12 = org.apache.commons.math.dfp.DfpMath.sin(var11);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test248() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapRintToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapRint();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test249() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    java.lang.Double[] var11 = new java.lang.Double[] { var5};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    org.apache.commons.math.linear.RealVector var23 = var17.ebeDivide((org.apache.commons.math.linear.RealVector)var22);
    org.apache.commons.math.linear.RealVector var24 = var17.mapAtanToSelf();
    java.lang.Integer var25 = new java.lang.Integer(100);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    int var30 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var25, (int)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.gcd((int)var29, (int)var34);
    int var36 = org.apache.commons.math.util.MathUtils.sign((int)var35);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    java.lang.Double var38 = new java.lang.Double(10.0d);
    double[] var39 = new double[] { var37, var38};
    double var40 = org.apache.commons.math.util.MathUtils.safeNorm(var39);
    var17.setEntry((int)var36, (double)var40);
    org.apache.commons.math.linear.RealVector var42 = var12.mapMultiply((double)var40);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test250() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var9, var10};
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var16 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var11, var13);
    org.apache.commons.math.linear.RealVector var17 = var7.mapDivideToSelf((double)var13);
    org.apache.commons.math.linear.RealVector var18 = var7.mapAcosToSelf();
    double var19 = var7.getSparcity();
    org.apache.commons.math.linear.RealVector var20 = var7.mapRint();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test251() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    boolean var19 = org.apache.commons.math.util.MathUtils.equals((double)var17, (double)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var15, (double)var18, (double)var22);
    org.apache.commons.math.linear.RealVector var25 = var6.append((double)var18);
    org.apache.commons.math.linear.RealVector var26 = var6.mapAcos();
    double[] var27 = var6.toArray();
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var28, (double)var31);
    org.apache.commons.math.linear.RealVector var36 = var6.mapMultiplyToSelf((double)var35);
    org.apache.commons.math.linear.RealVector var37 = var6.mapSqrtToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    org.apache.commons.math.linear.RealVector var53 = var47.mapPowToSelf((double)var51);
    java.lang.Double[] var54 = new java.lang.Double[] { var51};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var55.mapCbrtToSelf();
    java.lang.Integer var57 = new java.lang.Integer(100);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var57, (int)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    int var67 = org.apache.commons.math.util.MathUtils.gcd((int)var61, (int)var66);
    int var68 = org.apache.commons.math.util.MathUtils.sign((int)var67);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    java.lang.Double var70 = new java.lang.Double(10.0d);
    double[] var71 = new double[] { var69, var70};
    double var72 = org.apache.commons.math.util.MathUtils.safeNorm(var71);
    var55.setEntry((int)var68, (double)var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var74, var75};
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var81 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var76, var78);
    double var82 = var81.getConstantTerm();
    double var83 = org.apache.commons.math.util.MathUtils.log((double)var72, (double)var82);
    var6.set((double)var82);
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector(var1, var82);
    double var86 = var85.getSparcity();
    double[] var87 = var85.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);

  }

  public void test252() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var15, (double)var18);
    var12.set((double)var18);
    double[] var24 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var25 = var12.projection(var24);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test253() throws Throwable {

    org.apache.commons.math.linear.OpenMapRealVector var0 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var1 = var0.getSparsity();
    org.apache.commons.math.linear.RealVector var2 = var0.mapSinhToSelf();
    org.apache.commons.math.complex.ComplexField var3 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var4 = var3.getZero();
    double var5 = var4.getArgument();
    double var6 = var4.abs();
    java.lang.Long var7 = new java.lang.Long(100L);
    java.lang.Integer var8 = new java.lang.Integer(0);
    java.lang.Long var9 = new java.lang.Long(100L);
    int var10 = org.apache.commons.math.util.MathUtils.pow((int)var8, (long)var9);
    long var11 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var7, (long)var9);
    java.lang.Integer var12 = new java.lang.Integer(100);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    int var17 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var12, (int)var16);
    long var18 = org.apache.commons.math.util.MathUtils.pow((long)var11, (int)var17);
    double var19 = org.apache.commons.math.util.MathUtils.scalb((double)var6, (int)var17);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var28 = var0.getSubVector((int)var17, (int)var27);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test254() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var34 = var9.mapTanToSelf();
    org.apache.commons.math.linear.RealVector var35 = var9.mapLog10ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test255() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    org.apache.commons.math.dfp.Dfp var51 = org.apache.commons.math.dfp.DfpMath.atan(var10);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Integer var56 = new java.lang.Integer(0);
    java.lang.Long var57 = new java.lang.Long(100L);
    int var58 = org.apache.commons.math.util.MathUtils.pow((int)var56, (long)var57);
    int var59 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var55, (int)var56);
    org.apache.commons.math.dfp.DfpField var60 = new org.apache.commons.math.dfp.DfpField(var55);
    org.apache.commons.math.dfp.Dfp var61 = var60.getOne();
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    int var69 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var65, (int)var66);
    org.apache.commons.math.dfp.DfpField var70 = new org.apache.commons.math.dfp.DfpField(var65);
    org.apache.commons.math.dfp.Dfp var71 = var70.getOne();
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    java.lang.Double var73 = new java.lang.Double(10.0d);
    java.lang.Double var74 = new java.lang.Double(100.0d);
    int var75 = org.apache.commons.math.util.MathUtils.compareTo((double)var72, (double)var73, (double)var74);
    java.lang.Integer var76 = new java.lang.Integer(0);
    java.lang.Long var77 = new java.lang.Long(100L);
    int var78 = org.apache.commons.math.util.MathUtils.pow((int)var76, (long)var77);
    int var79 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var75, (int)var76);
    org.apache.commons.math.dfp.DfpField var80 = new org.apache.commons.math.dfp.DfpField(var75);
    org.apache.commons.math.dfp.Dfp var81 = var80.getOne();
    org.apache.commons.math.dfp.Dfp var82 = var70.newDfp(var81);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    java.lang.Integer var87 = new java.lang.Integer(0);
    java.lang.Long var88 = new java.lang.Long(100L);
    int var89 = org.apache.commons.math.util.MathUtils.pow((int)var87, (long)var88);
    int var90 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var86, (int)var87);
    org.apache.commons.math.dfp.DfpField var91 = new org.apache.commons.math.dfp.DfpField(var86);
    org.apache.commons.math.dfp.Dfp var92 = var91.getOne();
    boolean var93 = var81.greaterThan(var92);
    org.apache.commons.math.dfp.Dfp var94 = var61.remainder(var92);
    boolean var95 = var10.greaterThan(var94);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var92 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var94 == null);

  }

//  public void test256() throws Throwable {
//
//    double[] var0 = new double[] { };
//    java.lang.Double var1 = new java.lang.Double(0.0d);
//    java.lang.Double var2 = new java.lang.Double((-1.0d));
//    java.lang.Double var3 = new java.lang.Double(0.0d);
//    double[] var4 = new double[] { var1, var2, var3};
//    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
//    java.lang.Double var6 = new java.lang.Double(0.0d);
//    java.lang.Double var7 = new java.lang.Double((-1.0d));
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
//    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
//    org.apache.commons.math.complex.Complex var11 = var10.cos();
//    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var13 = var12.getZero();
//    double var14 = var13.getArgument();
//    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
//    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var17 = var16.getZero();
//    double var18 = var17.getArgument();
//    org.apache.commons.math.complex.Complex var19 = var13.pow(var17);
//    org.apache.commons.math.complex.Complex var20 = var17.cosh();
//    
//    // Checks the contract:  equals-hashcode on var11 and var20
//    assertTrue("Contract failed: equals-hashcode on var11 and var20", var11.equals(var20) ? var11.hashCode() == var20.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var20 and var11
//    assertTrue("Contract failed: equals-hashcode on var20 and var11", var20.equals(var11) ? var20.hashCode() == var11.hashCode() : true);
//
//  }

  public void test257() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    double[] var21 = new double[] { var19, var20};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var22 = var17.getDistance(var21);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test258() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var17 = var16.getZero();
    double var18 = var17.getArgument();
    org.apache.commons.math.complex.Complex var19 = var17.exp();
    java.lang.Double var20 = new java.lang.Double(1.0d);
    java.lang.Double var21 = new java.lang.Double(1.0d);
    boolean var22 = org.apache.commons.math.util.MathUtils.equals((double)var20, (double)var21);
    boolean var23 = var17.equals((java.lang.Object)var21);
    org.apache.commons.math.complex.Complex var24 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var15, (double)var21);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test259() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    org.apache.commons.math.complex.Complex var13 = var1.atan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test260() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    double var14 = var4.getL1Norm();
    org.apache.commons.math.linear.RealVector var15 = var4.mapTanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test261() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    double var11 = var9.getNorm();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    java.lang.Double var24 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var25 = var16.mapMultiplyToSelf((double)var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    java.lang.Double var41 = new java.lang.Double(1.0d);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    boolean var43 = org.apache.commons.math.util.MathUtils.equals((double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    boolean var48 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var39, (double)var42, (double)var46);
    org.apache.commons.math.linear.RealVector var49 = var30.append((double)var42);
    org.apache.commons.math.linear.RealVector var50 = var16.mapAddToSelf((double)var42);
    org.apache.commons.math.linear.RealVector var51 = var9.mapAdd((double)var42);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);

  }

  public void test262() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = var9.rint();
    boolean var44 = var9.isInfinite();
    org.apache.commons.math.dfp.Dfp var45 = var9.newInstance();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test263() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapCoshToSelf();
    double var31 = var29.getNorm();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    org.apache.commons.math.linear.RealVector var43 = var41.mapAsinToSelf();
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var29, var41);
    org.apache.commons.math.linear.RealVector var45 = var29.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test264() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    org.apache.commons.math.dfp.Dfp var33 = var22.multiply(var32);
    org.apache.commons.math.dfp.Dfp var34 = var32.sqrt();
    org.apache.commons.math.dfp.Dfp var35 = var32.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test265() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    var27.incrementAll(var31);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var33 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumLogImpl(var33);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var35 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var36 = var35.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var37 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var35);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(0.0d);
    double[] var40 = new double[] { var38, var39};
    double[] var41 = new double[] { };
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    double[] var45 = new double[] { var42, var43, var44};
    double var46 = org.apache.commons.math.util.MathUtils.distanceInf(var41, var45);
    double var47 = var37.evaluate(var40, (double)var46);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var48 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var37};
    var24.setMeanImpl(var48);
    long var50 = var24.getN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);

  }

  public void test266() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Float var3 = new java.lang.Float(1.0f);
    java.lang.Float var4 = new java.lang.Float(0.0f);
    boolean var5 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var3, (float)var4);
    float var6 = org.apache.commons.math.util.MathUtils.sign((float)var3);
    java.lang.Float var7 = new java.lang.Float(0.0f);
    java.lang.Float var8 = new java.lang.Float((-1.0f));
    boolean var9 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var8);
    java.lang.Float var10 = new java.lang.Float(1.0f);
    java.lang.Float var11 = new java.lang.Float(0.0f);
    boolean var12 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var10, (float)var11);
    java.lang.Float var13 = new java.lang.Float(1.0f);
    java.lang.Float var14 = new java.lang.Float(100.0f);
    java.lang.Float var15 = new java.lang.Float(0.0f);
    java.lang.Integer var16 = new java.lang.Integer(0);
    boolean var17 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var14, (float)var15, (int)var16);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((float)var13, (float)var15);
    java.lang.Float var19 = new java.lang.Float(0.0f);
    java.lang.Float var20 = new java.lang.Float((-1.0f));
    boolean var21 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var19, (float)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    float var25 = org.apache.commons.math.util.MathUtils.round((float)var19, (int)var22);
    java.lang.Float var26 = new java.lang.Float(0.0f);
    java.lang.Float var27 = new java.lang.Float((-1.0f));
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var26, (float)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    float var32 = org.apache.commons.math.util.MathUtils.round((float)var26, (int)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var37.ebeDivide((org.apache.commons.math.linear.RealVector)var42);
    int var44 = var37.getMaxIndex();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Double var49 = new java.lang.Double(1.0d);
    java.lang.Double var50 = new java.lang.Double(1.0d);
    boolean var51 = org.apache.commons.math.util.MathUtils.equals((double)var49, (double)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    boolean var56 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var47, (double)var50, (double)var54);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var57 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var44, var56);
    boolean var58 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var25, (float)var26, (int)var44);
    java.lang.Float var59 = new java.lang.Float(1.0f);
    java.lang.Float var60 = new java.lang.Float(100.0f);
    java.lang.Float var61 = new java.lang.Float(0.0f);
    java.lang.Integer var62 = new java.lang.Integer(0);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var60, (float)var61, (int)var62);
    boolean var64 = org.apache.commons.math.util.MathUtils.equals((float)var59, (float)var61);
    boolean var65 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var25, (float)var59);
    java.lang.Float var66 = new java.lang.Float(100.0f);
    java.lang.Float var67 = new java.lang.Float(0.0f);
    java.lang.Integer var68 = new java.lang.Integer(0);
    boolean var69 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var66, (float)var67, (int)var68);
    boolean var70 = org.apache.commons.math.util.MathUtils.equals((float)var13, (float)var25, (float)var67);
    boolean var71 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var10, (float)var67);
    boolean var72 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var10);
    java.lang.Float var73 = new java.lang.Float(0.0f);
    java.lang.Float var74 = new java.lang.Float((-1.0f));
    boolean var75 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var73, (float)var74);
    java.lang.Float var76 = new java.lang.Float(1.0f);
    java.lang.Float var77 = new java.lang.Float(0.0f);
    boolean var78 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var73, (float)var76, (float)var77);
    boolean var79 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var77);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test267() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.complex.ComplexField var7 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var8 = var7.getZero();
    org.apache.commons.math.complex.Complex var9 = var8.sinh();
    double var10 = var8.getImaginary();
    double var11 = org.apache.commons.math.util.MathUtils.indicator((double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapLog10ToSelf();
    java.lang.Double var24 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var25 = var16.mapMultiplyToSelf((double)var24);
    double var26 = org.apache.commons.math.util.MathUtils.indicator((double)var24);
    java.lang.Double var27 = new java.lang.Double(0.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var10, (double)var26, (double)var27);
    org.apache.commons.math.linear.OpenMapRealVector var29 = var6.mapAdd((double)var27);
    double[] var30 = var29.getData();
    org.apache.commons.math.linear.RealVector var31 = var29.mapSignumToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test268() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    var8.clearIEEEFlags();
    org.apache.commons.math.dfp.Dfp var13 = var8.getE();
    org.apache.commons.math.dfp.Dfp var14 = var8.getLn5();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test269() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    org.apache.commons.math.linear.OpenMapRealVector var11 = var10.unitVector();
    double var12 = var6.getDistance(var10);
    org.apache.commons.math.linear.RealVector var13 = var10.mapAcos();
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    double var28 = var19.dotProduct(var26);
    org.apache.commons.math.linear.RealVector var29 = var26.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var30 = var26.copy();
    int var31 = var30.getDimension();
    double var32 = var10.getL1Distance(var30);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(1.0d);
    java.lang.Double var36 = new java.lang.Double(1.0d);
    boolean var37 = org.apache.commons.math.util.MathUtils.equals((double)var35, (double)var36);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    org.apache.commons.math.linear.RealVector var49 = var43.ebeDivide((org.apache.commons.math.linear.RealVector)var48);
    org.apache.commons.math.linear.RealVector var50 = var43.mapLog10ToSelf();
    java.lang.Double var51 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var52 = var43.mapMultiplyToSelf((double)var51);
    double var53 = org.apache.commons.math.util.MathUtils.indicator((double)var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    double var58 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var51, (double)var55);
    java.lang.Integer var59 = new java.lang.Integer(10);
    java.lang.Integer var60 = new java.lang.Integer(10);
    double var61 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var59, (int)var60);
    java.lang.Integer var62 = new java.lang.Integer(0);
    java.lang.Long var63 = new java.lang.Long(100L);
    int var64 = org.apache.commons.math.util.MathUtils.pow((int)var62, (long)var63);
    double var65 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var60, (int)var62);
    boolean var66 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var35, (double)var55, (int)var62);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    boolean var71 = org.apache.commons.math.util.MathUtils.equals((double)var35, (double)var67);
    var30.set((double)var35);
    double var73 = var30.getMinValue();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test270() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var15, (double)var18);
    var12.set((double)var18);
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var12.append((double)var24);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    org.apache.commons.math.linear.RealVector var44 = var33.mapDivide((double)var41);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    org.apache.commons.math.linear.RealVector var55 = var49.ebeDivide((org.apache.commons.math.linear.RealVector)var54);
    org.apache.commons.math.linear.RealVector var56 = var49.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var57 = var49.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var58 = var33.subtract(var49);
    org.apache.commons.math.linear.RealVector var59 = var58.mapSqrtToSelf();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var60 = var28.ebeMultiply((org.apache.commons.math.linear.RealVector)var58);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);

  }

  public void test271() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic var25 = null;
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var25};
    var24.setSumsqImpl(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setGeoMeanImpl(var57);
    // The following exception was thrown during execution.
    // Exception class: class java.lang.NullPointerException with canonical name: java.lang.NullPointerException
    // This behavior will recorded for regression testing.
    try {
      double[] var59 = var24.getSumSq();
      fail("Expected exception of type java.lang.NullPointerException");
    } catch (java.lang.NullPointerException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);

  }

//  public void test272() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(0.0d);
//    java.lang.Double var2 = new java.lang.Double((-1.0d));
//    double[] var3 = new double[] { var0, var1, var2};
//    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
//    java.lang.Double var5 = new java.lang.Double((-1.0d));
//    java.lang.Double var6 = new java.lang.Double(0.0d);
//    java.lang.Double var7 = new java.lang.Double((-1.0d));
//    double[] var8 = new double[] { var5, var6, var7};
//    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
//    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
//    java.lang.Double var11 = new java.lang.Double((-1.0d));
//    java.lang.Double var12 = new java.lang.Double(10.0d);
//    java.lang.Double var13 = new java.lang.Double(100.0d);
//    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
//    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
//    java.lang.Double[] var16 = new java.lang.Double[] { var13};
//    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
//    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
//    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
//    org.apache.commons.math.linear.RealVector var20 = var17.mapCosh();
//    org.apache.commons.math.linear.RealVector var21 = var17.mapAcos();
//    java.lang.Double var22 = new java.lang.Double((-1.0d));
//    double[] var23 = new double[] { var22};
//    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
//    java.lang.Double var25 = new java.lang.Double((-1.0d));
//    double[] var26 = new double[] { var25};
//    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
//    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
//    org.apache.commons.math.linear.OpenMapRealVector var29 = new org.apache.commons.math.linear.OpenMapRealVector(var28);
//    java.lang.Double var30 = new java.lang.Double((-1.0d));
//    java.lang.Double var31 = new java.lang.Double(0.0d);
//    java.lang.Double var32 = new java.lang.Double((-1.0d));
//    double[] var33 = new double[] { var30, var31, var32};
//    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
//    java.lang.Double var35 = new java.lang.Double((-1.0d));
//    java.lang.Double var36 = new java.lang.Double(0.0d);
//    java.lang.Double var37 = new java.lang.Double((-1.0d));
//    double[] var38 = new double[] { var35, var36, var37};
//    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
//    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
//    java.lang.Double var41 = new java.lang.Double(0.0d);
//    java.lang.Double var42 = new java.lang.Double((-1.0d));
//    java.lang.Double var43 = new java.lang.Double((-1.0d));
//    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
//    org.apache.commons.math.linear.RealVector var45 = var34.mapDivide((double)var42);
//    org.apache.commons.math.linear.RealVector var46 = var29.mapSubtractToSelf((double)var42);
//    boolean var47 = var17.equals((java.lang.Object)var42);
//    
//    // Checks the contract:  equals-hashcode on var15 and var45
//    assertTrue("Contract failed: equals-hashcode on var15 and var45", var15.equals(var45) ? var15.hashCode() == var45.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var45 and var15
//    assertTrue("Contract failed: equals-hashcode on var45 and var15", var45.equals(var15) ? var45.hashCode() == var15.hashCode() : true);
//
//  }

  public void test273() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getPi();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp[] var21 = var20.getPiSplit();
    org.apache.commons.math.dfp.Dfp var22 = var20.getE();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    java.lang.Integer var47 = new java.lang.Integer(0);
    java.lang.Long var48 = new java.lang.Long(100L);
    int var49 = org.apache.commons.math.util.MathUtils.pow((int)var47, (long)var48);
    int var50 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var46, (int)var47);
    org.apache.commons.math.dfp.DfpField var51 = new org.apache.commons.math.dfp.DfpField(var46);
    org.apache.commons.math.dfp.Dfp var52 = var51.getOne();
    org.apache.commons.math.dfp.Dfp var53 = var41.newDfp(var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    org.apache.commons.math.dfp.DfpField var62 = new org.apache.commons.math.dfp.DfpField(var57);
    org.apache.commons.math.dfp.Dfp var63 = var62.getOne();
    boolean var64 = var52.greaterThan(var63);
    org.apache.commons.math.dfp.Dfp var65 = var32.remainder(var63);
    org.apache.commons.math.dfp.Dfp var66 = new org.apache.commons.math.dfp.Dfp(var65);
    org.apache.commons.math.dfp.Dfp var67 = var22.add(var65);
    boolean var68 = var11.greaterThan(var65);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);

  }

  public void test274() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    java.lang.Double var24 = new java.lang.Double(1.0d);
    boolean var25 = org.apache.commons.math.util.MathUtils.equals((double)var23, (double)var24);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    org.apache.commons.math.linear.RealVector var38 = var31.mapLog10ToSelf();
    java.lang.Double var39 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiplyToSelf((double)var39);
    double var41 = org.apache.commons.math.util.MathUtils.indicator((double)var39);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    double var46 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var39, (double)var43);
    java.lang.Integer var47 = new java.lang.Integer(10);
    java.lang.Integer var48 = new java.lang.Integer(10);
    double var49 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var47, (int)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    double var53 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var48, (int)var50);
    boolean var54 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var23, (double)var43, (int)var50);
    org.apache.commons.math.linear.RealVector var55 = var20.mapMultiplyToSelf((double)var23);
    org.apache.commons.math.linear.RealVector var56 = var20.mapLogToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);

  }

  public void test275() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    org.apache.commons.math.linear.OpenMapRealVector var4 = var3.unitVector();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test276() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var30.mapFloorToSelf();
    int var45 = var30.getMaxIndex();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test277() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapUlp();
    org.apache.commons.math.linear.RealVector var4 = var2.mapAcos();
    double[] var5 = var2.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test278() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapAtanToSelf();
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var4);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var13};
    org.apache.commons.math.linear.RealVector var15 = var12.append(var14);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test279() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var10 = var7.mapCos();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    org.apache.commons.math.linear.OpenMapRealVector var24 = var20.add(var23);
    double var25 = var16.dotProduct(var23);
    org.apache.commons.math.linear.RealVector var26 = var23.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.copy();
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var23.mapMultiply((double)var29);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    org.apache.commons.math.linear.OpenMapRealVector var39 = var35.add(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.add(var45);
    double var47 = var38.dotProduct(var45);
    org.apache.commons.math.linear.RealVector var48 = var23.mapMultiplyToSelf((double)var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var7.append(var48);
    double[] var50 = var7.getData();
    org.apache.commons.math.linear.RealVector var51 = var7.mapExp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);

  }

  public void test280() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    var27.incrementAll(var31);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var33 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumLogImpl(var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    org.apache.commons.math.dfp.Dfp var45 = var43.getOne();
    boolean var46 = var24.equals((java.lang.Object)var43);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test281() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    org.apache.commons.math.dfp.Dfp var33 = var22.multiply(var32);
    org.apache.commons.math.dfp.Dfp var34 = var32.sqrt();
    org.apache.commons.math.dfp.Dfp var35 = var34.getTwo();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test282() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    double var22 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var15, (double)var18);
    var12.set((double)var18);
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var12.append((double)var24);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    java.lang.Integer var33 = new java.lang.Integer(0);
    java.lang.Long var34 = new java.lang.Long(100L);
    int var35 = org.apache.commons.math.util.MathUtils.pow((int)var33, (long)var34);
    int var36 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var32, (int)var33);
    org.apache.commons.math.dfp.DfpField var37 = new org.apache.commons.math.dfp.DfpField(var32);
    org.apache.commons.math.dfp.Dfp var38 = var37.getOne();
    int var39 = var38.log10K();
    java.lang.Integer var40 = new java.lang.Integer(100);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    int var45 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var40, (int)var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    int var50 = org.apache.commons.math.util.MathUtils.gcd((int)var44, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var38.power10K((int)var44);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Integer var56 = new java.lang.Integer(0);
    java.lang.Long var57 = new java.lang.Long(100L);
    int var58 = org.apache.commons.math.util.MathUtils.pow((int)var56, (long)var57);
    int var59 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var55, (int)var56);
    org.apache.commons.math.dfp.DfpField var60 = new org.apache.commons.math.dfp.DfpField(var55);
    org.apache.commons.math.dfp.Dfp var61 = var60.getOne();
    org.apache.commons.math.dfp.Dfp var62 = var51.multiply(var61);
    boolean var63 = var12.equals((java.lang.Object)var61);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test283() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    boolean var7 = var1.equals((java.lang.Object)var5);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(100.0d);
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.String var29 = var21.toString();
    java.lang.Integer var30 = new java.lang.Integer(100);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var30, (int)var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var34, (int)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    org.apache.commons.math.linear.RealVector var51 = var45.ebeDivide((org.apache.commons.math.linear.RealVector)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    boolean var58 = org.apache.commons.math.util.MathUtils.equals((double)var56, (double)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var54, (double)var57, (double)var61);
    org.apache.commons.math.linear.RealVector var64 = var45.append((double)var57);
    org.apache.commons.math.linear.RealVector var65 = var45.mapAcos();
    double[] var66 = var45.toArray();
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    double var74 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var67, (double)var70);
    org.apache.commons.math.linear.RealVector var75 = var45.mapMultiplyToSelf((double)var74);
    org.apache.commons.math.linear.RealVector var76 = var45.mapSqrtToSelf();
    var21.set((int)var40, var45);
    double var78 = var21.getLInfNorm();
    boolean var79 = org.apache.commons.math.util.MathUtils.equals((double)var10, (double)var78);
    org.apache.commons.math.complex.Complex var80 = var1.multiply((double)var78);
    org.apache.commons.math.complex.ComplexField var81 = var1.getField();
    org.apache.commons.math.complex.Complex var82 = var1.sin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);

  }

  public void test284() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMeanImpl();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setMinImpl(var57);
    java.lang.String var59 = var24.toString();
    org.apache.commons.math.linear.RealMatrix var60 = var24.getCovariance();
    double[] var61 = var24.getMean();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);

  }

  public void test285() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.Complex var16 = var13.atan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test286() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic var25 = null;
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var25};
    var24.setSumsqImpl(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setGeoMeanImpl(var57);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var59 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var60 = var59.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var61 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var59);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var62 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var61};
    var24.setSumsqImpl(var62);
    org.apache.commons.math.linear.RealMatrix var64 = var24.getCovariance();
    java.lang.Double var65 = new java.lang.Double(10.0d);
    double[] var66 = new double[] { var65};
    var24.addValue(var66);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test287() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double(10.0d);
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    double var6 = var5.getArgument();
    double var7 = var5.abs();
    java.lang.Long var8 = new java.lang.Long(100L);
    java.lang.Integer var9 = new java.lang.Integer(0);
    java.lang.Long var10 = new java.lang.Long(100L);
    int var11 = org.apache.commons.math.util.MathUtils.pow((int)var9, (long)var10);
    long var12 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var8, (long)var10);
    java.lang.Integer var13 = new java.lang.Integer(100);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(10.0d);
    java.lang.Double var16 = new java.lang.Double(100.0d);
    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
    int var18 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var13, (int)var17);
    long var19 = org.apache.commons.math.util.MathUtils.pow((long)var12, (int)var18);
    double var20 = org.apache.commons.math.util.MathUtils.scalb((double)var7, (int)var18);
    double[] var21 = org.apache.commons.math.util.MathUtils.normalizeArray(var3, (double)var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test288() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    int var45 = var44.log10K();
    java.lang.Integer var46 = new java.lang.Integer(100);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var46, (int)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.gcd((int)var50, (int)var55);
    org.apache.commons.math.dfp.Dfp var57 = var44.power10K((int)var50);
    java.lang.Integer var58 = new java.lang.Integer(100);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    int var63 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var58, (int)var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.gcd((int)var62, (int)var67);
    org.apache.commons.math.dfp.Dfp var69 = var44.power10((int)var67);
    org.apache.commons.math.dfp.Dfp var70 = var9.newInstance(var69);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(10.0d);
    java.lang.Double var73 = new java.lang.Double(100.0d);
    int var74 = org.apache.commons.math.util.MathUtils.compareTo((double)var71, (double)var72, (double)var73);
    java.lang.Integer var75 = new java.lang.Integer(0);
    java.lang.Long var76 = new java.lang.Long(100L);
    int var77 = org.apache.commons.math.util.MathUtils.pow((int)var75, (long)var76);
    int var78 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var74, (int)var75);
    org.apache.commons.math.dfp.DfpField var79 = new org.apache.commons.math.dfp.DfpField(var74);
    org.apache.commons.math.dfp.Dfp var80 = var79.getOne();
    int var81 = var80.log10K();
    java.lang.Integer var82 = new java.lang.Integer(100);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    int var87 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var82, (int)var86);
    java.lang.Double var88 = new java.lang.Double((-1.0d));
    java.lang.Double var89 = new java.lang.Double(10.0d);
    java.lang.Double var90 = new java.lang.Double(100.0d);
    int var91 = org.apache.commons.math.util.MathUtils.compareTo((double)var88, (double)var89, (double)var90);
    int var92 = org.apache.commons.math.util.MathUtils.gcd((int)var86, (int)var91);
    org.apache.commons.math.dfp.Dfp var93 = var80.power10K((int)var86);
    boolean var94 = var70.unequal(var80);
    double[] var95 = var70.toSplitDouble();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var95 == null);

  }

  public void test289() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapUlp();
    org.apache.commons.math.linear.RealVector var4 = var2.mapAcos();
    org.apache.commons.math.linear.RealVector var5 = var2.mapUlp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test290() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    int var11 = var8.getRadixDigits();
    int var12 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var13 = var8.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test291() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Integer var1 = new java.lang.Integer(100);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(10.0d);
    java.lang.Double var4 = new java.lang.Double(100.0d);
    int var5 = org.apache.commons.math.util.MathUtils.compareTo((double)var2, (double)var3, (double)var4);
    java.lang.Integer var6 = new java.lang.Integer(0);
    java.lang.Long var7 = new java.lang.Long(100L);
    int var8 = org.apache.commons.math.util.MathUtils.pow((int)var6, (long)var7);
    int var9 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var5, (int)var6);
    int var10 = org.apache.commons.math.util.MathUtils.pow((int)var1, (int)var5);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    org.apache.commons.math.linear.RealVector var21 = var15.ebeDivide((org.apache.commons.math.linear.RealVector)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    org.apache.commons.math.linear.RealVector var26 = var20.mapPowToSelf((double)var24);
    java.lang.Double[] var27 = new java.lang.Double[] { var24};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    org.apache.commons.math.linear.RealVector var29 = var28.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var30 = var28.mapFloorToSelf();
    int var31 = var28.getDimension();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var0, var10, var31);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test292() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var17 = var16.getZero();
    double var18 = var17.getArgument();
    org.apache.commons.math.complex.Complex var19 = var13.pow(var17);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(0.0d);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var20, var21, var22};
    org.apache.commons.math.linear.ArrayRealVector var24 = new org.apache.commons.math.linear.ArrayRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(0.0d);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var25, var26, var27};
    org.apache.commons.math.linear.ArrayRealVector var29 = new org.apache.commons.math.linear.ArrayRealVector(var28);
    org.apache.commons.math.linear.RealVector var30 = var24.ebeDivide((org.apache.commons.math.linear.RealVector)var29);
    org.apache.commons.math.linear.RealVector var31 = var24.mapAtanToSelf();
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    int var42 = org.apache.commons.math.util.MathUtils.gcd((int)var36, (int)var41);
    int var43 = org.apache.commons.math.util.MathUtils.sign((int)var42);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    java.lang.Double var45 = new java.lang.Double(10.0d);
    double[] var46 = new double[] { var44, var45};
    double var47 = org.apache.commons.math.util.MathUtils.safeNorm(var46);
    var24.setEntry((int)var43, (double)var47);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      java.util.List var49 = var17.nthRoot((int)var43);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test293() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic var25 = null;
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var25};
    var24.setSumsqImpl(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setGeoMeanImpl(var57);
    double[] var59 = var24.getStandardDeviation();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);

  }

  public void test294() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(10.0d);
    double[] var27 = new double[] { var25, var26};
    org.apache.commons.math.linear.RealVector var28 = var24.append(var27);
    org.apache.commons.math.linear.RealVector var29 = var24.mapAtanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test295() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    org.apache.commons.math.dfp.Dfp var11 = var8.getZero();
    org.apache.commons.math.dfp.Dfp var12 = var8.getTwo();
    org.apache.commons.math.dfp.Dfp var13 = var8.getOne();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test296() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.Complex var16 = var15.sinh();
    org.apache.commons.math.complex.Complex var17 = var15.negate();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    int var21 = var20.getDimension();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.linear.RealVector var37 = var31.mapPowToSelf((double)var35);
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var21, var35);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(1.0d);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    boolean var43 = org.apache.commons.math.util.MathUtils.equals((double)var41, (double)var42);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    org.apache.commons.math.linear.RealVector var55 = var49.ebeDivide((org.apache.commons.math.linear.RealVector)var54);
    org.apache.commons.math.linear.RealVector var56 = var49.mapLog10ToSelf();
    java.lang.Double var57 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var58 = var49.mapMultiplyToSelf((double)var57);
    double var59 = org.apache.commons.math.util.MathUtils.indicator((double)var57);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(10.0d);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    int var63 = org.apache.commons.math.util.MathUtils.compareTo((double)var60, (double)var61, (double)var62);
    double var64 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var57, (double)var61);
    java.lang.Integer var65 = new java.lang.Integer(10);
    java.lang.Integer var66 = new java.lang.Integer(10);
    double var67 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var65, (int)var66);
    java.lang.Integer var68 = new java.lang.Integer(0);
    java.lang.Long var69 = new java.lang.Long(100L);
    int var70 = org.apache.commons.math.util.MathUtils.pow((int)var68, (long)var69);
    double var71 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var66, (int)var68);
    boolean var72 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var41, (double)var61, (int)var68);
    org.apache.commons.math.linear.RealVector var73 = var38.mapMultiplyToSelf((double)var41);
    double var74 = var38.getNorm();
    org.apache.commons.math.complex.Complex var75 = var15.multiply((double)var74);
    java.lang.Double[] var76 = new java.lang.Double[] { var74};
    org.apache.commons.math.linear.ArrayRealVector var77 = new org.apache.commons.math.linear.ArrayRealVector(var76);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);

  }

  public void test297() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapSignum();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test298() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapLog10ToSelf();
    java.lang.Double var33 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var34 = var25.mapMultiplyToSelf((double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.indicator((double)var33);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    double var40 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var33, (double)var37);
    org.apache.commons.math.linear.RealVector var41 = var18.mapPow((double)var33);
    org.apache.commons.math.complex.ComplexField var42 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var43 = var42.getZero();
    org.apache.commons.math.complex.Complex var44 = var43.sinh();
    double var45 = var43.getImaginary();
    double var46 = org.apache.commons.math.util.MathUtils.indicator((double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var51.ebeDivide((org.apache.commons.math.linear.RealVector)var56);
    org.apache.commons.math.linear.RealVector var58 = var51.mapLog10ToSelf();
    java.lang.Double var59 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var60 = var51.mapMultiplyToSelf((double)var59);
    double var61 = org.apache.commons.math.util.MathUtils.indicator((double)var59);
    java.lang.Double var62 = new java.lang.Double(0.0d);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var45, (double)var61, (double)var62);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var64 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction((org.apache.commons.math.linear.RealVector)var18, var61);
    org.apache.commons.math.linear.RealVector var65 = var64.getCoefficients();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);

  }

  public void test299() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(1);
    java.lang.Integer var1 = new java.lang.Integer(10);
    java.lang.Integer var2 = new java.lang.Integer(100);
    int[] var3 = new int[] { var0, var1, var2};
    java.lang.Integer var4 = new java.lang.Integer(1);
    int[] var5 = new int[] { var4};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      int var6 = org.apache.commons.math.util.MathUtils.distance1(var3, var5);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test300() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Integer var1 = new java.lang.Integer(1);
    int[] var2 = new int[] { var0, var1};
    java.lang.Integer var3 = new java.lang.Integer(100);
    java.lang.Integer var4 = new java.lang.Integer(100);
    java.lang.Integer var5 = new java.lang.Integer(1);
    int[] var6 = new int[] { var3, var4, var5};
    int var7 = org.apache.commons.math.util.MathUtils.distance1(var2, var6);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test301() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    org.apache.commons.math.linear.RealVector var23 = var12.mapInvToSelf();
    java.util.Iterator var24 = var12.sparseIterator();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test302() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
    org.apache.commons.math.dfp.Dfp[] var34 = var33.getPiSplit();
    org.apache.commons.math.dfp.Dfp var35 = var33.getE();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    java.lang.Integer var40 = new java.lang.Integer(0);
    java.lang.Long var41 = new java.lang.Long(100L);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
    int var43 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var39, (int)var40);
    org.apache.commons.math.dfp.DfpField var44 = new org.apache.commons.math.dfp.DfpField(var39);
    org.apache.commons.math.dfp.Dfp var45 = var44.getOne();
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Integer var60 = new java.lang.Integer(0);
    java.lang.Long var61 = new java.lang.Long(100L);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
    org.apache.commons.math.dfp.Dfp var66 = var54.newDfp(var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    java.lang.Integer var71 = new java.lang.Integer(0);
    java.lang.Long var72 = new java.lang.Long(100L);
    int var73 = org.apache.commons.math.util.MathUtils.pow((int)var71, (long)var72);
    int var74 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var70, (int)var71);
    org.apache.commons.math.dfp.DfpField var75 = new org.apache.commons.math.dfp.DfpField(var70);
    org.apache.commons.math.dfp.Dfp var76 = var75.getOne();
    boolean var77 = var65.greaterThan(var76);
    org.apache.commons.math.dfp.Dfp var78 = var45.remainder(var76);
    org.apache.commons.math.dfp.Dfp var79 = new org.apache.commons.math.dfp.Dfp(var78);
    org.apache.commons.math.dfp.Dfp var80 = var35.add(var78);
    org.apache.commons.math.dfp.Dfp var81 = org.apache.commons.math.dfp.Dfp.copysign(var24, var35);
    java.lang.Long var82 = new java.lang.Long(100L);
    java.lang.Long var83 = new java.lang.Long((-1L));
    long var84 = org.apache.commons.math.util.MathUtils.lcm((long)var82, (long)var83);
    java.lang.Long var85 = new java.lang.Long(100L);
    long var86 = org.apache.commons.math.util.MathUtils.mulAndCheck((long)var83, (long)var85);
    org.apache.commons.math.dfp.Dfp var87 = var35.newInstance((long)var85);
    org.apache.commons.math.dfp.Dfp var88 = org.apache.commons.math.dfp.DfpMath.exp(var87);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);

  }

  public void test303() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    double var2 = org.apache.commons.math.util.MathUtils.safeNorm(var1);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);

  }

  public void test304() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var17);
    org.apache.commons.math.linear.RealVector var21 = var17.mapFloor();
    org.apache.commons.math.linear.RealVector var22 = var17.mapTanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test305() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.RealVector var22 = var19.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.copy();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var6.subtract((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    double var33 = var6.getDistance(var32);
    double[] var34 = var6.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

  public void test306() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var3, var4, var5};
    java.lang.Integer var7 = new java.lang.Integer(10);
    int var8 = org.apache.commons.math.util.MathUtils.indicator((int)var7);
    java.lang.Integer var9 = new java.lang.Integer(100);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var9, (int)var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var15, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var13, (int)var20);
    var0.setData(var6, (int)var8, (int)var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    double[] var26 = new double[] { var23, var24, var25};
    var0.setData(var26);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(10.0d);
    double[] var31 = new double[] { var28, var29, var30};
    double var32 = var0.evaluate(var31);
    double var33 = var0.evaluate();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test307() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapSin();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.RealVector var45 = var38.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var46 = var38.mapInvToSelf();
    double var47 = var9.getL1Distance(var46);
    org.apache.commons.math.linear.RealVector var48 = var9.mapExp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);

  }

  public void test308() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    org.apache.commons.math.linear.RealVector var24 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(1.0d);
    boolean var31 = org.apache.commons.math.util.MathUtils.equals((double)var29, (double)var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    boolean var36 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var27, (double)var30, (double)var34);
    org.apache.commons.math.linear.RealVector var37 = var18.append((double)var30);
    org.apache.commons.math.linear.RealVector var38 = var4.mapAddToSelf((double)var30);
    org.apache.commons.math.linear.RealVector var39 = var4.mapExpm1ToSelf();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(0.0d);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var40, var41, var42};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(0.0d);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var45, var46, var47};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    org.apache.commons.math.linear.RealVector var50 = var44.ebeDivide((org.apache.commons.math.linear.RealVector)var49);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var51, var52, var53};
    double var55 = var49.getL1Distance(var54);
    org.apache.commons.math.linear.RealVector var56 = var4.mapPowToSelf((double)var55);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    double[] var58 = new double[] { var57};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var59 = var4.add(var58);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);

  }

  public void test309() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    org.apache.commons.math.dfp.Dfp var30 = var18.newDfp(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    boolean var41 = var29.greaterThan(var40);
    org.apache.commons.math.dfp.Dfp var42 = var9.remainder(var40);
    org.apache.commons.math.dfp.Dfp var43 = new org.apache.commons.math.dfp.Dfp(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    int var47 = var46.getDimension();
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    org.apache.commons.math.linear.RealVector var58 = var52.ebeDivide((org.apache.commons.math.linear.RealVector)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    org.apache.commons.math.linear.RealVector var63 = var57.mapPowToSelf((double)var61);
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var47, var61);
    org.apache.commons.math.dfp.Dfp var65 = var42.power10((int)var47);
    org.apache.commons.math.linear.OpenMapRealVector var66 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);

  }

//  public void test310() throws Throwable {
//
//    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var1 = var0.getZero();
//    org.apache.commons.math.complex.Complex var2 = var1.sinh();
//    org.apache.commons.math.complex.ComplexField var3 = var1.getField();
//    org.apache.commons.math.complex.Complex var4 = var1.exp();
//    org.apache.commons.math.complex.Complex var5 = var4.conjugate();
//    
//    // Checks the contract:  equals-hashcode on var4 and var5
//    assertTrue("Contract failed: equals-hashcode on var4 and var5", var4.equals(var5) ? var4.hashCode() == var5.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var5 and var4
//    assertTrue("Contract failed: equals-hashcode on var5 and var4", var5.equals(var4) ? var5.hashCode() == var4.hashCode() : true);
//
//  }

  public void test311() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var2, var3, var4};
    org.apache.commons.math.linear.ArrayRealVector var6 = new org.apache.commons.math.linear.ArrayRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var7, var8, var9};
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var6.ebeDivide((org.apache.commons.math.linear.RealVector)var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    boolean var19 = org.apache.commons.math.util.MathUtils.equals((double)var17, (double)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var15, (double)var18, (double)var22);
    org.apache.commons.math.linear.RealVector var25 = var6.append((double)var18);
    org.apache.commons.math.linear.RealVector var26 = var6.mapAcos();
    double[] var27 = var6.toArray();
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var28, (double)var31);
    org.apache.commons.math.linear.RealVector var36 = var6.mapMultiplyToSelf((double)var35);
    org.apache.commons.math.linear.RealVector var37 = var6.mapSqrtToSelf();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    org.apache.commons.math.linear.RealVector var53 = var47.mapPowToSelf((double)var51);
    java.lang.Double[] var54 = new java.lang.Double[] { var51};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var55.mapCbrtToSelf();
    java.lang.Integer var57 = new java.lang.Integer(100);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var57, (int)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    int var67 = org.apache.commons.math.util.MathUtils.gcd((int)var61, (int)var66);
    int var68 = org.apache.commons.math.util.MathUtils.sign((int)var67);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    java.lang.Double var70 = new java.lang.Double(10.0d);
    double[] var71 = new double[] { var69, var70};
    double var72 = org.apache.commons.math.util.MathUtils.safeNorm(var71);
    var55.setEntry((int)var68, (double)var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var74, var75};
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var81 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var76, var78);
    double var82 = var81.getConstantTerm();
    double var83 = org.apache.commons.math.util.MathUtils.log((double)var72, (double)var82);
    var6.set((double)var82);
    org.apache.commons.math.linear.OpenMapRealVector var85 = new org.apache.commons.math.linear.OpenMapRealVector(var1, var82);
    org.apache.commons.math.linear.RealVector var86 = var85.mapAsin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);

  }

  public void test312() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    org.apache.commons.math.linear.RealVector var35 = var4.mapSqrtToSelf();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    org.apache.commons.math.linear.RealVector var46 = var40.ebeDivide((org.apache.commons.math.linear.RealVector)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    org.apache.commons.math.linear.RealVector var51 = var45.mapPowToSelf((double)var49);
    java.lang.Double[] var52 = new java.lang.Double[] { var49};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var53.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var55 = var53.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var56 = var53.mapCosh();
    org.apache.commons.math.linear.RealVector var57 = var53.mapAcos();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var58 = var4.ebeMultiply(var53);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);

  }

  public void test313() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var3, var4, var5};
    java.lang.Integer var7 = new java.lang.Integer(10);
    int var8 = org.apache.commons.math.util.MathUtils.indicator((int)var7);
    java.lang.Integer var9 = new java.lang.Integer(100);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var9, (int)var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var15, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var13, (int)var20);
    var0.setData(var6, (int)var8, (int)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(10.0d);
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var0.evaluate(var26);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double(10.0d);
    double[] var31 = new double[] { var29, var30};
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    org.apache.commons.math.linear.RealVector var47 = var41.mapPowToSelf((double)var45);
    java.lang.Double[] var48 = new java.lang.Double[] { var45};
    org.apache.commons.math.linear.ArrayRealVector var49 = new org.apache.commons.math.linear.ArrayRealVector(var48);
    org.apache.commons.math.linear.RealVector var50 = var49.mapCbrtToSelf();
    java.lang.Integer var51 = new java.lang.Integer(100);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var51, (int)var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    int var61 = org.apache.commons.math.util.MathUtils.gcd((int)var55, (int)var60);
    int var62 = org.apache.commons.math.util.MathUtils.sign((int)var61);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    java.lang.Double var64 = new java.lang.Double(10.0d);
    double[] var65 = new double[] { var63, var64};
    double var66 = org.apache.commons.math.util.MathUtils.safeNorm(var65);
    var49.setEntry((int)var62, (double)var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(10.0d);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var68, (double)var69, (double)var70);
    java.lang.Integer var72 = new java.lang.Integer(0);
    java.lang.Long var73 = new java.lang.Long(100L);
    int var74 = org.apache.commons.math.util.MathUtils.pow((int)var72, (long)var73);
    int var75 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var71, (int)var72);
    org.apache.commons.math.dfp.DfpField var76 = new org.apache.commons.math.dfp.DfpField(var71);
    org.apache.commons.math.dfp.Dfp var77 = var76.getOne();
    int var78 = var76.getRadixDigits();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      var28.incrementAll(var31, (int)var62, (int)var78);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);

  }

  public void test314() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var17.mapAbsToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test315() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.dfp.Dfp var39 = var9.divide((int)var38);
    org.apache.commons.math.dfp.Dfp var40 = var39.sqrt();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test316() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var27.ebeDivide((org.apache.commons.math.linear.RealVector)var32);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    double var38 = var32.getL1Distance(var37);
    org.apache.commons.math.linear.RealVector var39 = var32.mapSignum();
    java.lang.String var40 = var32.toString();
    java.lang.Integer var41 = new java.lang.Integer(100);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    int var46 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var41, (int)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.gcd((int)var45, (int)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(0.0d);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var57, var58, var59};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var56.ebeDivide((org.apache.commons.math.linear.RealVector)var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(10.0d);
    java.lang.Double var65 = new java.lang.Double(100.0d);
    int var66 = org.apache.commons.math.util.MathUtils.compareTo((double)var63, (double)var64, (double)var65);
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    boolean var74 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var65, (double)var68, (double)var72);
    org.apache.commons.math.linear.RealVector var75 = var56.append((double)var68);
    org.apache.commons.math.linear.RealVector var76 = var56.mapAcos();
    double[] var77 = var56.toArray();
    java.lang.Double var78 = new java.lang.Double(1.0d);
    java.lang.Double var79 = new java.lang.Double(1.0d);
    boolean var80 = org.apache.commons.math.util.MathUtils.equals((double)var78, (double)var79);
    java.lang.Double var81 = new java.lang.Double((-1.0d));
    java.lang.Double var82 = new java.lang.Double(10.0d);
    java.lang.Double var83 = new java.lang.Double(100.0d);
    int var84 = org.apache.commons.math.util.MathUtils.compareTo((double)var81, (double)var82, (double)var83);
    double var85 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var78, (double)var81);
    org.apache.commons.math.linear.RealVector var86 = var56.mapMultiplyToSelf((double)var85);
    org.apache.commons.math.linear.RealVector var87 = var56.mapSqrtToSelf();
    var32.set((int)var51, var56);
    double var89 = var32.getLInfNorm();
    org.apache.commons.math.linear.OpenMapRealVector var90 = var12.mapAdd((double)var89);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);

  }

  public void test317() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    java.lang.Double var32 = new java.lang.Double(10.0d);
    double[] var33 = new double[] { var31, var32};
    double var34 = org.apache.commons.math.util.MathUtils.safeNorm(var33);
    var17.setEntry((int)var30, (double)var34);
    int var36 = var17.getMaxIndex();
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    int var41 = org.apache.commons.math.util.MathUtils.subAndCheck((int)var36, (int)var40);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    java.lang.Double var43 = new java.lang.Double(1.0d);
    boolean var44 = org.apache.commons.math.util.MathUtils.equals((double)var42, (double)var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    double var49 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var42, (double)var45);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var50, var51, var52};
    org.apache.commons.math.linear.ArrayRealVector var54 = new org.apache.commons.math.linear.ArrayRealVector(var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    org.apache.commons.math.linear.RealVector var60 = var54.ebeDivide((org.apache.commons.math.linear.RealVector)var59);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    java.lang.Double var65 = new java.lang.Double(1.0d);
    java.lang.Double var66 = new java.lang.Double(1.0d);
    boolean var67 = org.apache.commons.math.util.MathUtils.equals((double)var65, (double)var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(10.0d);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var68, (double)var69, (double)var70);
    boolean var72 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var63, (double)var66, (double)var70);
    org.apache.commons.math.linear.RealVector var73 = var54.append((double)var66);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double(10.0d);
    java.lang.Double var76 = new java.lang.Double(100.0d);
    int var77 = org.apache.commons.math.util.MathUtils.compareTo((double)var74, (double)var75, (double)var76);
    java.lang.Integer var78 = new java.lang.Integer(0);
    java.lang.Long var79 = new java.lang.Long(100L);
    int var80 = org.apache.commons.math.util.MathUtils.pow((int)var78, (long)var79);
    int var81 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var77, (int)var78);
    boolean var82 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var49, (double)var66, (int)var78);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var83 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var40, var82);
    double[] var84 = var83.getMean();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test318() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var25 = var24.getMeanImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = var26.copy();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(1.0d);
    java.lang.Double var31 = new java.lang.Double(1.0d);
    boolean var32 = org.apache.commons.math.util.MathUtils.equals((double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    org.apache.commons.math.linear.RealVector var44 = var38.ebeDivide((org.apache.commons.math.linear.RealVector)var43);
    org.apache.commons.math.linear.RealVector var45 = var38.mapLog10ToSelf();
    java.lang.Double var46 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var47 = var38.mapMultiplyToSelf((double)var46);
    double var48 = org.apache.commons.math.util.MathUtils.indicator((double)var46);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(10.0d);
    java.lang.Double var51 = new java.lang.Double(100.0d);
    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var49, (double)var50, (double)var51);
    double var53 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var46, (double)var50);
    java.lang.Integer var54 = new java.lang.Integer(10);
    java.lang.Integer var55 = new java.lang.Integer(10);
    double var56 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var54, (int)var55);
    java.lang.Integer var57 = new java.lang.Integer(0);
    java.lang.Long var58 = new java.lang.Long(100L);
    int var59 = org.apache.commons.math.util.MathUtils.pow((int)var57, (long)var58);
    double var60 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var55, (int)var57);
    boolean var61 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var30, (double)var50, (int)var57);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var62 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var61);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation.copy(var26, var62);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var64 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var26};
    var24.setSumImpl(var64);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var66 = var24.getMaxImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);

  }

  public void test319() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    double var23 = var2.getMaxValue();
    double[] var24 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var25 = var2.ebeMultiply(var24);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test320() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    int var42 = var41.getDimension();
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    org.apache.commons.math.linear.RealVector var53 = var47.ebeDivide((org.apache.commons.math.linear.RealVector)var52);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    org.apache.commons.math.linear.RealVector var58 = var52.mapPowToSelf((double)var56);
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var42, var56);
    org.apache.commons.math.linear.ArrayRealVector var60 = new org.apache.commons.math.linear.ArrayRealVector(var37, var56);
    java.lang.Double var61 = new java.lang.Double(0.0d);
    double[] var62 = new double[] { var61};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var63 = var60.add(var62);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test321() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Float var3 = new java.lang.Float(1.0f);
    java.lang.Float var4 = new java.lang.Float(0.0f);
    boolean var5 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var3, (float)var4);
    java.lang.Float var6 = new java.lang.Float(1.0f);
    java.lang.Float var7 = new java.lang.Float(100.0f);
    java.lang.Float var8 = new java.lang.Float(0.0f);
    java.lang.Integer var9 = new java.lang.Integer(0);
    boolean var10 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var8, (int)var9);
    boolean var11 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var8);
    java.lang.Float var12 = new java.lang.Float(0.0f);
    java.lang.Float var13 = new java.lang.Float((-1.0f));
    boolean var14 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var12, (float)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    float var18 = org.apache.commons.math.util.MathUtils.round((float)var12, (int)var15);
    java.lang.Float var19 = new java.lang.Float(0.0f);
    java.lang.Float var20 = new java.lang.Float((-1.0f));
    boolean var21 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var19, (float)var20);
    java.lang.Integer var22 = new java.lang.Integer(0);
    java.lang.Long var23 = new java.lang.Long(100L);
    int var24 = org.apache.commons.math.util.MathUtils.pow((int)var22, (long)var23);
    float var25 = org.apache.commons.math.util.MathUtils.round((float)var19, (int)var22);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    int var37 = var30.getMaxIndex();
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    java.lang.Double var42 = new java.lang.Double(1.0d);
    java.lang.Double var43 = new java.lang.Double(1.0d);
    boolean var44 = org.apache.commons.math.util.MathUtils.equals((double)var42, (double)var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    boolean var49 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var40, (double)var43, (double)var47);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var50 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var37, var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var18, (float)var19, (int)var37);
    java.lang.Float var52 = new java.lang.Float(1.0f);
    java.lang.Float var53 = new java.lang.Float(100.0f);
    java.lang.Float var54 = new java.lang.Float(0.0f);
    java.lang.Integer var55 = new java.lang.Integer(0);
    boolean var56 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var53, (float)var54, (int)var55);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((float)var52, (float)var54);
    boolean var58 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var18, (float)var52);
    java.lang.Float var59 = new java.lang.Float(100.0f);
    java.lang.Float var60 = new java.lang.Float(0.0f);
    java.lang.Integer var61 = new java.lang.Integer(0);
    boolean var62 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var59, (float)var60, (int)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equals((float)var6, (float)var18, (float)var60);
    boolean var64 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var3, (float)var60);
    java.lang.Float var65 = new java.lang.Float(1.0f);
    java.lang.Float var66 = new java.lang.Float(100.0f);
    java.lang.Float var67 = new java.lang.Float(0.0f);
    java.lang.Integer var68 = new java.lang.Integer(0);
    boolean var69 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var66, (float)var67, (int)var68);
    boolean var70 = org.apache.commons.math.util.MathUtils.equals((float)var65, (float)var67);
    float var71 = org.apache.commons.math.util.MathUtils.sign((float)var65);
    boolean var72 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var60, (float)var65);
    java.lang.Float var73 = new java.lang.Float(0.0f);
    boolean var74 = org.apache.commons.math.util.MathUtils.equals((float)var65, (float)var73);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test322() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var28.mapUlp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test323() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    org.apache.commons.math.dfp.Dfp var12 = var8.getE();
    org.apache.commons.math.dfp.Dfp var13 = var8.getSqr2Reciprocal();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test324() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapUlp();
    org.apache.commons.math.linear.RealVector var4 = var2.mapAcos();
    org.apache.commons.math.linear.RealVector var5 = var2.mapAcosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test325() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    org.apache.commons.math.linear.RealVector var35 = var4.mapSqrtToSelf();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    org.apache.commons.math.linear.RealVector var46 = var40.ebeDivide((org.apache.commons.math.linear.RealVector)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    org.apache.commons.math.linear.RealVector var51 = var45.mapPowToSelf((double)var49);
    java.lang.Double[] var52 = new java.lang.Double[] { var49};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var53.mapCbrtToSelf();
    java.lang.Integer var55 = new java.lang.Integer(100);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    int var60 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var55, (int)var59);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    int var65 = org.apache.commons.math.util.MathUtils.gcd((int)var59, (int)var64);
    int var66 = org.apache.commons.math.util.MathUtils.sign((int)var65);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    java.lang.Double var68 = new java.lang.Double(10.0d);
    double[] var69 = new double[] { var67, var68};
    double var70 = org.apache.commons.math.util.MathUtils.safeNorm(var69);
    var53.setEntry((int)var66, (double)var70);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    double[] var74 = new double[] { var72, var73};
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    java.lang.Double var76 = new java.lang.Double(10.0d);
    java.lang.Double var77 = new java.lang.Double(100.0d);
    int var78 = org.apache.commons.math.util.MathUtils.compareTo((double)var75, (double)var76, (double)var77);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var79 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var74, var76);
    double var80 = var79.getConstantTerm();
    double var81 = org.apache.commons.math.util.MathUtils.log((double)var70, (double)var80);
    var4.set((double)var80);
    java.lang.Double var83 = new java.lang.Double(10.0d);
    double[] var84 = new double[] { var83};
    org.apache.commons.math.linear.ArrayRealVector var85 = new org.apache.commons.math.linear.ArrayRealVector(var84);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var86 = var4.getLInfDistance(var85);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test326() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    org.apache.commons.math.linear.RealVector var8 = var6.mapInvToSelf();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var20 = var18.mapAsinToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var33 = var18.ebeDivide(var25);
    org.apache.commons.math.linear.RealVector var34 = var18.mapLog1pToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(1.0d);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    boolean var39 = org.apache.commons.math.util.MathUtils.equals((double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.linear.RealVector var41 = var18.mapPow((double)var36);
    org.apache.commons.math.linear.RealVector var42 = var6.mapPow((double)var36);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test327() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(10.0d);
    double[] var19 = new double[] { var16, var17, var18};
    double var20 = var9.getDistance(var19);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test328() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var25.mapAsinToSelf();
    double var28 = var25.getLInfNorm();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.ebeMultiply(var25);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var33};
    org.apache.commons.math.linear.OpenMapRealVector var35 = new org.apache.commons.math.linear.OpenMapRealVector(var34);
    org.apache.commons.math.linear.OpenMapRealVector var36 = var32.add(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var40};
    org.apache.commons.math.linear.OpenMapRealVector var42 = new org.apache.commons.math.linear.OpenMapRealVector(var41);
    org.apache.commons.math.linear.OpenMapRealVector var43 = var39.add(var42);
    double var44 = var35.dotProduct(var42);
    org.apache.commons.math.linear.RealVector var45 = var42.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var46 = var42.copy();
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    org.apache.commons.math.linear.RealVector var51 = var42.mapMultiply((double)var48);
    org.apache.commons.math.linear.RealVector var52 = var42.mapFloor();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealMatrix var53 = var4.outerProduct((org.apache.commons.math.linear.RealVector)var42);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test329() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    long var3 = var2.getN();
    double[] var4 = var2.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertTrue(var4 == null);

  }

  public void test330() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var20 = var13.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var21 = var13.mapInvToSelf();
    double[] var22 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var13, var22);
    org.apache.commons.math.linear.RealVector var24 = var13.mapCbrt();
    org.apache.commons.math.linear.RealVector var25 = var13.mapExpm1ToSelf();
    java.lang.String var26 = var13.toString();
    org.apache.commons.math.dfp.Dfp var27 = var8.newDfp(var26);
    org.apache.commons.math.dfp.Dfp var28 = var8.getE();
    java.lang.Byte var29 = new java.lang.Byte((byte)100);
    org.apache.commons.math.dfp.Dfp var30 = var28.newInstance((byte)var29);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test331() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(1.0f);
    java.lang.Float var1 = new java.lang.Float(100.0f);
    java.lang.Float var2 = new java.lang.Float(10.0f);
    float[] var3 = new float[] { var0, var1, var2};
    java.lang.Float var4 = new java.lang.Float((-1.0f));
    java.lang.Float var5 = new java.lang.Float((-1.0f));
    java.lang.Float var6 = new java.lang.Float(100.0f);
    float[] var7 = new float[] { var4, var5, var6};
    boolean var8 = org.apache.commons.math.util.MathUtils.equals(var3, var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);

  }

  public void test332() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    var27.incrementAll(var31);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var33 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumLogImpl(var33);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var35 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var36 = var35.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var37 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var35);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(0.0d);
    double[] var40 = new double[] { var38, var39};
    double[] var41 = new double[] { };
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    double[] var45 = new double[] { var42, var43, var44};
    double var46 = org.apache.commons.math.util.MathUtils.distanceInf(var41, var45);
    double var47 = var37.evaluate(var40, (double)var46);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var48 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var37};
    var24.setMeanImpl(var48);
    java.lang.Double var50 = new java.lang.Double(0.0d);
    double[] var51 = new double[] { var50};
    var24.addValue(var51);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var53 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var54 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var55 = var54.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var56 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var54);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(1.0d);
    java.lang.Double var59 = new java.lang.Double(1.0d);
    double[] var60 = new double[] { var57, var58, var59};
    java.lang.Integer var61 = new java.lang.Integer(10);
    int var62 = org.apache.commons.math.util.MathUtils.indicator((int)var61);
    java.lang.Integer var63 = new java.lang.Integer(100);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var63, (int)var67);
    java.lang.Integer var69 = new java.lang.Integer(100);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    int var74 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var69, (int)var73);
    int var75 = org.apache.commons.math.util.MathUtils.lcm((int)var67, (int)var74);
    var54.setData(var60, (int)var62, (int)var75);
    java.lang.Boolean var77 = new java.lang.Boolean(true);
    var54.setBiasCorrected((boolean)var77);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var79 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var54};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$5 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      var24.setMeanImpl(var79);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);

  }

  public void test333() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    double var33 = var24.dotProduct(var31);
    org.apache.commons.math.linear.RealVector var34 = var31.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.copy();
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiply((double)var37);
    org.apache.commons.math.linear.RealVector var41 = var17.mapMultiplyToSelf((double)var37);
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double(0.0d);
    double[] var45 = new double[] { var44};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      var17.setSubVector((int)var43, var45);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);

  }

  public void test334() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var9, var10};
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var16 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var11, var13);
    org.apache.commons.math.linear.RealVector var17 = var7.mapDivideToSelf((double)var13);
    org.apache.commons.math.linear.RealVector var18 = var7.mapCeilToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test335() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapCbrt();
    org.apache.commons.math.linear.RealVector var16 = var4.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var17 = var4.mapTanh();
    org.apache.commons.math.linear.AbstractRealVector var18 = var4.copy();
    org.apache.commons.math.linear.RealVector var19 = var18.mapAbsToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test336() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var26};
    var24.setMeanImpl(var27);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test337() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double(10.0d);
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.OpenMapRealVector var4 = new org.apache.commons.math.linear.OpenMapRealVector(var3);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test338() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMeanImpl();
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    org.apache.commons.math.linear.RealVector var38 = var32.ebeDivide((org.apache.commons.math.linear.RealVector)var37);
    int var39 = var32.getMaxIndex();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var52 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var39, var51);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var53 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var51);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    var53.incrementAll(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var53};
    var24.setMinImpl(var57);
    java.lang.String var59 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var60 = var24.getSumLogImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test339() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn5();
    org.apache.commons.math.dfp.Dfp var12 = var8.getLn10();
    int var13 = var8.getRadixDigits();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test340() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.RealVector var30 = var29.mapCoshToSelf();
    double var31 = var29.getNorm();
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    org.apache.commons.math.linear.RealVector var43 = var41.mapAsinToSelf();
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var29, var41);
    org.apache.commons.math.linear.RealVector var45 = var44.mapCbrtToSelf();
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(0.0d);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    double[] var54 = new double[] { var51, var52, var53};
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var54);
    org.apache.commons.math.linear.RealVector var56 = var50.ebeDivide((org.apache.commons.math.linear.RealVector)var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    org.apache.commons.math.linear.RealVector var61 = var55.mapPowToSelf((double)var59);
    java.lang.Double[] var62 = new java.lang.Double[] { var59};
    org.apache.commons.math.linear.ArrayRealVector var63 = new org.apache.commons.math.linear.ArrayRealVector(var62);
    org.apache.commons.math.linear.RealVector var64 = var63.mapCbrtToSelf();
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var65};
    org.apache.commons.math.linear.OpenMapRealVector var67 = new org.apache.commons.math.linear.OpenMapRealVector(var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    double[] var69 = new double[] { var68};
    org.apache.commons.math.linear.OpenMapRealVector var70 = new org.apache.commons.math.linear.OpenMapRealVector(var69);
    org.apache.commons.math.linear.OpenMapRealVector var71 = var67.add(var70);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    double[] var73 = new double[] { var72};
    org.apache.commons.math.linear.OpenMapRealVector var74 = new org.apache.commons.math.linear.OpenMapRealVector(var73);
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    double[] var76 = new double[] { var75};
    org.apache.commons.math.linear.OpenMapRealVector var77 = new org.apache.commons.math.linear.OpenMapRealVector(var76);
    org.apache.commons.math.linear.OpenMapRealVector var78 = var74.add(var77);
    double var79 = var70.dotProduct(var77);
    org.apache.commons.math.linear.RealVector var80 = var77.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var81 = var77.copy();
    java.lang.Double var82 = new java.lang.Double(0.0d);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double((-1.0d));
    int var85 = org.apache.commons.math.util.MathUtils.compareTo((double)var82, (double)var83, (double)var84);
    org.apache.commons.math.linear.RealVector var86 = var77.mapMultiply((double)var83);
    org.apache.commons.math.linear.RealVector var87 = var63.mapMultiplyToSelf((double)var83);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var88 = var44.add(var63);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var86 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var87 == null);

  }

  public void test341() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    float var6 = org.apache.commons.math.util.MathUtils.round((float)var0, (int)var3);
    java.lang.Float var7 = new java.lang.Float(0.0f);
    boolean var8 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var7);
    java.lang.Float var9 = new java.lang.Float(1.0f);
    java.lang.Float var10 = new java.lang.Float(100.0f);
    java.lang.Float var11 = new java.lang.Float(0.0f);
    java.lang.Integer var12 = new java.lang.Integer(0);
    boolean var13 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var10, (float)var11, (int)var12);
    boolean var14 = org.apache.commons.math.util.MathUtils.equals((float)var9, (float)var11);
    java.lang.Float var15 = new java.lang.Float(0.0f);
    java.lang.Float var16 = new java.lang.Float((-1.0f));
    boolean var17 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var15, (float)var16);
    java.lang.Integer var18 = new java.lang.Integer(0);
    java.lang.Long var19 = new java.lang.Long(100L);
    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
    float var21 = org.apache.commons.math.util.MathUtils.round((float)var15, (int)var18);
    java.lang.Float var22 = new java.lang.Float(0.0f);
    java.lang.Float var23 = new java.lang.Float((-1.0f));
    boolean var24 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var22, (float)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    float var28 = org.apache.commons.math.util.MathUtils.round((float)var22, (int)var25);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    int var40 = var33.getMaxIndex();
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    java.lang.Double var46 = new java.lang.Double(1.0d);
    boolean var47 = org.apache.commons.math.util.MathUtils.equals((double)var45, (double)var46);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(10.0d);
    java.lang.Double var50 = new java.lang.Double(100.0d);
    int var51 = org.apache.commons.math.util.MathUtils.compareTo((double)var48, (double)var49, (double)var50);
    boolean var52 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var43, (double)var46, (double)var50);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var53 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var40, var52);
    boolean var54 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var21, (float)var22, (int)var40);
    java.lang.Float var55 = new java.lang.Float(1.0f);
    java.lang.Float var56 = new java.lang.Float(100.0f);
    java.lang.Float var57 = new java.lang.Float(0.0f);
    java.lang.Integer var58 = new java.lang.Integer(0);
    boolean var59 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var56, (float)var57, (int)var58);
    boolean var60 = org.apache.commons.math.util.MathUtils.equals((float)var55, (float)var57);
    boolean var61 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var21, (float)var55);
    java.lang.Float var62 = new java.lang.Float(100.0f);
    java.lang.Float var63 = new java.lang.Float(0.0f);
    java.lang.Integer var64 = new java.lang.Integer(0);
    boolean var65 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var62, (float)var63, (int)var64);
    boolean var66 = org.apache.commons.math.util.MathUtils.equals((float)var9, (float)var21, (float)var63);
    boolean var67 = org.apache.commons.math.util.MathUtils.equals((float)var7, (float)var63);
    float var68 = org.apache.commons.math.util.MathUtils.sign((float)var7);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);

  }

  public void test342() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var42 = var40.getOne();
    org.apache.commons.math.dfp.Dfp var43 = var19.subtract(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    java.lang.Double var50 = new java.lang.Double(0.0d);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    double[] var52 = new double[] { var49, var50, var51};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var48.ebeDivide((org.apache.commons.math.linear.RealVector)var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(10.0d);
    java.lang.Double var57 = new java.lang.Double(100.0d);
    int var58 = org.apache.commons.math.util.MathUtils.compareTo((double)var55, (double)var56, (double)var57);
    org.apache.commons.math.linear.RealVector var59 = var53.mapPowToSelf((double)var57);
    java.lang.Double[] var60 = new java.lang.Double[] { var57};
    org.apache.commons.math.linear.ArrayRealVector var61 = new org.apache.commons.math.linear.ArrayRealVector(var60);
    org.apache.commons.math.linear.RealVector var62 = var61.mapCbrtToSelf();
    java.lang.Integer var63 = new java.lang.Integer(100);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var63, (int)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    int var73 = org.apache.commons.math.util.MathUtils.gcd((int)var67, (int)var72);
    int var74 = org.apache.commons.math.util.MathUtils.sign((int)var73);
    java.lang.Double var75 = new java.lang.Double(100.0d);
    java.lang.Double var76 = new java.lang.Double(10.0d);
    double[] var77 = new double[] { var75, var76};
    double var78 = org.apache.commons.math.util.MathUtils.safeNorm(var77);
    var61.setEntry((int)var74, (double)var78);
    int var80 = var61.getMaxIndex();
    org.apache.commons.math.dfp.Dfp var81 = var19.newInstance((int)var80);
    int var82 = var81.classify();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);

  }

  public void test343() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    org.apache.commons.math.complex.ComplexField var3 = var1.getField();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.Complex var7 = var1.add(var6);
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.ComplexField var11 = var9.getField();
    org.apache.commons.math.complex.Complex var12 = var9.exp();
    org.apache.commons.math.complex.Complex var13 = var1.divide(var9);
    org.apache.commons.math.complex.Complex var14 = var13.exp();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test344() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    java.lang.Double var6 = new java.lang.Double(1.0d);
    boolean var7 = org.apache.commons.math.util.MathUtils.equals((double)var5, (double)var6);
    org.apache.commons.math.linear.RealVector var8 = var4.mapDivide((double)var6);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var9};
    org.apache.commons.math.linear.OpenMapRealVector var11 = new org.apache.commons.math.linear.OpenMapRealVector(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var12};
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = var11.add(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var16};
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var18.add(var21);
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    boolean var24 = var23.isNaN();
    org.apache.commons.math.linear.RealVector var25 = var14.projection((org.apache.commons.math.linear.RealVector)var23);
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var27 = var26.getSparsity();
    org.apache.commons.math.linear.RealVector var28 = var26.mapSinhToSelf();
    boolean var29 = var23.equals((java.lang.Object)var28);
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var4, var29);
    org.apache.commons.math.linear.RealVector var31 = var4.mapAtanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test345() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    java.lang.Integer var35 = new java.lang.Integer(0);
    java.lang.Long var36 = new java.lang.Long(100L);
    int var37 = org.apache.commons.math.util.MathUtils.pow((int)var35, (long)var36);
    int var38 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var34, (int)var35);
    org.apache.commons.math.dfp.DfpField var39 = new org.apache.commons.math.dfp.DfpField(var34);
    org.apache.commons.math.dfp.Dfp var40 = var39.getOne();
    org.apache.commons.math.dfp.Dfp var41 = var29.newDfp(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    java.lang.Integer var46 = new java.lang.Integer(0);
    java.lang.Long var47 = new java.lang.Long(100L);
    int var48 = org.apache.commons.math.util.MathUtils.pow((int)var46, (long)var47);
    int var49 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var45, (int)var46);
    org.apache.commons.math.dfp.DfpField var50 = new org.apache.commons.math.dfp.DfpField(var45);
    org.apache.commons.math.dfp.Dfp var51 = var50.getOne();
    boolean var52 = var40.greaterThan(var51);
    org.apache.commons.math.dfp.Dfp var53 = var20.remainder(var51);
    org.apache.commons.math.dfp.Dfp var54 = new org.apache.commons.math.dfp.Dfp(var53);
    org.apache.commons.math.dfp.Dfp var55 = var10.add(var53);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Integer var60 = new java.lang.Integer(0);
    java.lang.Long var61 = new java.lang.Long(100L);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
    org.apache.commons.math.dfp.Dfp var66 = var64.getOne();
    org.apache.commons.math.dfp.Dfp var67 = var64.getLn10();
    org.apache.commons.math.dfp.Dfp var68 = var55.remainder(var67);
    org.apache.commons.math.dfp.Dfp var69 = org.apache.commons.math.dfp.DfpMath.exp(var68);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    java.lang.Double var71 = new java.lang.Double(0.0d);
    double[] var72 = new double[] { var70, var71};
    int var73 = org.apache.commons.math.util.MathUtils.hash(var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double(10.0d);
    java.lang.Double var76 = new java.lang.Double(100.0d);
    int var77 = org.apache.commons.math.util.MathUtils.compareTo((double)var74, (double)var75, (double)var76);
    java.lang.Integer var78 = new java.lang.Integer(0);
    java.lang.Long var79 = new java.lang.Long(100L);
    int var80 = org.apache.commons.math.util.MathUtils.pow((int)var78, (long)var79);
    int var81 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var77, (int)var78);
    org.apache.commons.math.dfp.DfpField var82 = new org.apache.commons.math.dfp.DfpField(var77);
    org.apache.commons.math.dfp.Dfp var83 = var82.getOne();
    int var84 = var83.log10K();
    int var85 = org.apache.commons.math.util.MathUtils.indicator((int)var84);
    long var86 = org.apache.commons.math.util.MathUtils.factorial((int)var84);
    int var87 = org.apache.commons.math.util.MathUtils.pow((int)var73, (long)var86);
    org.apache.commons.math.dfp.Dfp var88 = var69.newInstance((long)var86);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var88 == null);

  }

  public void test346() throws Throwable {

    org.apache.commons.math.linear.OpenMapRealVector var0 = new org.apache.commons.math.linear.OpenMapRealVector();
    double var1 = var0.getSparsity();
    java.lang.Double[] var2 = new java.lang.Double[] { var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    int var14 = var7.getMaxIndex();
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double(1.0d);
    java.lang.Double var20 = new java.lang.Double(1.0d);
    boolean var21 = org.apache.commons.math.util.MathUtils.equals((double)var19, (double)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    boolean var26 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var17, (double)var20, (double)var24);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var27 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var14, var26);
    double[] var28 = var27.getStandardDeviation();
    int var29 = var27.getDimension();
    java.lang.Integer var30 = new java.lang.Integer(10);
    java.lang.Integer var31 = new java.lang.Integer(10);
    double var32 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var30, (int)var31);
    java.lang.Integer var33 = new java.lang.Integer(0);
    java.lang.Long var34 = new java.lang.Long(100L);
    int var35 = org.apache.commons.math.util.MathUtils.pow((int)var33, (long)var34);
    double var36 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var31, (int)var33);
    int var37 = org.apache.commons.math.util.MathUtils.gcd((int)var29, (int)var33);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    int var49 = var42.getMaxIndex();
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    java.lang.Double var54 = new java.lang.Double(1.0d);
    java.lang.Double var55 = new java.lang.Double(1.0d);
    boolean var56 = org.apache.commons.math.util.MathUtils.equals((double)var54, (double)var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    boolean var61 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var52, (double)var55, (double)var59);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var62 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var49, var61);
    double[] var63 = var62.getStandardDeviation();
    int var64 = var62.getDimension();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var65 = new org.apache.commons.math.linear.ArrayRealVector(var2, var29, var64);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);

  }

  public void test347() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    double[] var3 = new double[] { };
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    double[] var7 = new double[] { var4, var5, var6};
    double var8 = org.apache.commons.math.util.MathUtils.distanceInf(var3, var7);
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    org.apache.commons.math.complex.Complex var13 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var8, (double)var9);
    org.apache.commons.math.complex.Complex var14 = var13.cos();
    org.apache.commons.math.complex.ComplexField var15 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var16 = var15.getZero();
    double var17 = var16.getArgument();
    org.apache.commons.math.complex.Complex var18 = var13.subtract(var16);
    org.apache.commons.math.complex.Complex var19 = var1.add(var16);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    int var27 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var23, (int)var24);
    org.apache.commons.math.dfp.DfpField var28 = new org.apache.commons.math.dfp.DfpField(var23);
    org.apache.commons.math.dfp.Dfp var29 = var28.getOne();
    int var30 = var29.log10K();
    java.lang.Integer var31 = new java.lang.Integer(100);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    int var36 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var31, (int)var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    int var41 = org.apache.commons.math.util.MathUtils.gcd((int)var35, (int)var40);
    org.apache.commons.math.dfp.Dfp var42 = var29.power10K((int)var35);
    boolean var43 = var19.equals((java.lang.Object)var35);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test348() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(10);
    java.lang.Integer var1 = new java.lang.Integer(10);
    double var2 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var0, (int)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    double var6 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var1, (int)var3);
    long var7 = org.apache.commons.math.util.MathUtils.factorial((int)var1);
    java.lang.Long var8 = new java.lang.Long((-1L));
    java.lang.Long var9 = new java.lang.Long(0L);
    long var10 = org.apache.commons.math.util.MathUtils.pow((long)var8, (long)var9);
    java.lang.Long var11 = new java.lang.Long(100L);
    java.lang.Integer var12 = new java.lang.Integer(0);
    java.lang.Long var13 = new java.lang.Long(100L);
    int var14 = org.apache.commons.math.util.MathUtils.pow((int)var12, (long)var13);
    long var15 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var11, (long)var13);
    java.lang.Integer var16 = new java.lang.Integer(100);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var16, (int)var20);
    long var22 = org.apache.commons.math.util.MathUtils.pow((long)var15, (int)var21);
    java.lang.Long var23 = new java.lang.Long(100L);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    long var27 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var23, (long)var25);
    long var28 = org.apache.commons.math.util.MathUtils.lcm((long)var15, (long)var27);
    long var29 = org.apache.commons.math.util.MathUtils.pow((long)var9, (long)var27);
    long var30 = org.apache.commons.math.util.MathUtils.addAndCheck((long)var7, (long)var29);

  }

  public void test349() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var10 = var7.mapUlp();
    double[] var11 = var7.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test350() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    org.apache.commons.math.dfp.Dfp var31 = var19.newDfp(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    int var35 = org.apache.commons.math.util.MathUtils.compareTo((double)var32, (double)var33, (double)var34);
    java.lang.Integer var36 = new java.lang.Integer(0);
    java.lang.Long var37 = new java.lang.Long(100L);
    int var38 = org.apache.commons.math.util.MathUtils.pow((int)var36, (long)var37);
    int var39 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var35, (int)var36);
    org.apache.commons.math.dfp.DfpField var40 = new org.apache.commons.math.dfp.DfpField(var35);
    org.apache.commons.math.dfp.Dfp var41 = var40.getOne();
    boolean var42 = var30.greaterThan(var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    org.apache.commons.math.dfp.Dfp var49 = org.apache.commons.math.dfp.DfpMath.pow(var41, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var10, var41);
    org.apache.commons.math.dfp.Dfp var51 = org.apache.commons.math.dfp.DfpMath.atan(var10);
    java.lang.Integer var52 = new java.lang.Integer(100);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(10.0d);
    java.lang.Double var55 = new java.lang.Double(100.0d);
    int var56 = org.apache.commons.math.util.MathUtils.compareTo((double)var53, (double)var54, (double)var55);
    java.lang.Integer var57 = new java.lang.Integer(0);
    java.lang.Long var58 = new java.lang.Long(100L);
    int var59 = org.apache.commons.math.util.MathUtils.pow((int)var57, (long)var58);
    int var60 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var56, (int)var57);
    int var61 = org.apache.commons.math.util.MathUtils.pow((int)var52, (int)var56);
    org.apache.commons.math.dfp.Dfp var62 = var10.power10K((int)var52);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test351() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Byte var32 = new java.lang.Byte((byte)0);
    org.apache.commons.math.dfp.Dfp var33 = var30.newInstance((byte)var32);
    org.apache.commons.math.dfp.Dfp var34 = org.apache.commons.math.dfp.DfpMath.sin(var33);
    org.apache.commons.math.dfp.Dfp var35 = org.apache.commons.math.dfp.DfpMath.asin(var34);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);

  }

  public void test352() throws Throwable {

    float[] var0 = new float[] { };
    java.lang.Float var1 = new java.lang.Float(100.0f);
    java.lang.Float var2 = new java.lang.Float((-1.0f));
    java.lang.Float var3 = new java.lang.Float(100.0f);
    float[] var4 = new float[] { var1, var2, var3};
    boolean var5 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN(var0, var4);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);

  }

  public void test353() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Boolean var26 = new java.lang.Boolean(false);
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var4, var26);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);

  }

  public void test354() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(0.0d);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    double[] var7 = new double[] { var4, var5, var6};
    org.apache.commons.math.linear.ArrayRealVector var8 = new org.apache.commons.math.linear.ArrayRealVector(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    org.apache.commons.math.linear.RealVector var14 = var8.ebeDivide((org.apache.commons.math.linear.RealVector)var13);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    org.apache.commons.math.linear.RealVector var19 = var13.mapPowToSelf((double)var17);
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var3, var17);
    org.apache.commons.math.linear.RealVector var21 = var20.mapExpm1ToSelf();
    java.lang.Double var22 = new java.lang.Double(100.0d);
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.RealVector var24 = var20.add(var23);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test355() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapLog1pToSelf();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    java.lang.Double var6 = new java.lang.Double(1.0d);
    java.lang.Double var7 = new java.lang.Double(1.0d);
    boolean var8 = org.apache.commons.math.util.MathUtils.equals((double)var6, (double)var7);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var4, (double)var5, (double)var6);
    org.apache.commons.math.linear.RealVector var10 = var2.mapDivideToSelf((double)var6);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    boolean var19 = var18.isNaN();
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var20, var21};
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var27 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var22, var24);
    org.apache.commons.math.linear.RealVector var28 = var18.mapDivideToSelf((double)var24);
    org.apache.commons.math.linear.RealVector var29 = var18.mapAcosToSelf();
    double var30 = var18.getSparcity();
    org.apache.commons.math.linear.RealMatrix var31 = var2.outerProduct((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var32 = var18.mapSin();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test356() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapTanToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeil();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test357() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.dfp.Dfp var39 = var9.divide((int)var38);
    java.lang.Integer var40 = new java.lang.Integer(10);
    java.lang.Integer var41 = new java.lang.Integer(10);
    double var42 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var40, (int)var41);
    java.lang.Integer var43 = new java.lang.Integer(0);
    java.lang.Long var44 = new java.lang.Long(100L);
    int var45 = org.apache.commons.math.util.MathUtils.pow((int)var43, (long)var44);
    double var46 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var41, (int)var43);
    org.apache.commons.math.dfp.Dfp var47 = var9.power10((int)var41);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test358() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    double var33 = var24.dotProduct(var31);
    org.apache.commons.math.linear.RealVector var34 = var31.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.copy();
    java.lang.Double var36 = new java.lang.Double(0.0d);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    org.apache.commons.math.linear.RealVector var40 = var31.mapMultiply((double)var37);
    org.apache.commons.math.linear.RealVector var41 = var17.mapMultiplyToSelf((double)var37);
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var43 = var42.mapRintToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test359() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
    int var20 = var17.getDimension();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    int var32 = var25.getMaxIndex();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.ArrayRealVector var33 = var17.ebeMultiply(var25);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test360() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var25 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    var25.incrementAll(var27);
    long var29 = var25.getN();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test361() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    int var12 = var8.getIEEEFlags();
    var8.clearIEEEFlags();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test362() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    org.apache.commons.math.dfp.Dfp var21 = var20.floor();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test363() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    double[] var1 = new double[] { var0};
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var2};
    org.apache.commons.math.linear.OpenMapRealVector var4 = new org.apache.commons.math.linear.OpenMapRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var5};
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = var4.add(var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    double[] var10 = new double[] { var9};
    org.apache.commons.math.linear.OpenMapRealVector var11 = new org.apache.commons.math.linear.OpenMapRealVector(var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var12};
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = var11.add(var14);
    double var16 = var7.dotProduct(var14);
    org.apache.commons.math.linear.RealVector var17 = var14.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var18 = var14.copy();
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    org.apache.commons.math.linear.RealVector var23 = var14.mapMultiply((double)var20);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    org.apache.commons.math.linear.RealVector var34 = var28.ebeDivide((org.apache.commons.math.linear.RealVector)var33);
    org.apache.commons.math.linear.RealVector var35 = var28.mapLog10ToSelf();
    java.lang.Double var36 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var37 = var28.mapMultiplyToSelf((double)var36);
    double var38 = org.apache.commons.math.util.MathUtils.indicator((double)var36);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    double var43 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var36, (double)var40);
    org.apache.commons.math.complex.Complex var44 = new org.apache.commons.math.complex.Complex(var20, var40);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$1 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double[] var45 = org.apache.commons.math.util.MathUtils.normalizeArray(var1, (double)var40);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test364() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    org.apache.commons.math.linear.RealVector var35 = var4.mapSqrtToSelf();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    org.apache.commons.math.linear.RealVector var46 = var40.ebeDivide((org.apache.commons.math.linear.RealVector)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    org.apache.commons.math.linear.RealVector var51 = var45.mapPowToSelf((double)var49);
    java.lang.Double[] var52 = new java.lang.Double[] { var49};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var53.mapCbrtToSelf();
    java.lang.Integer var55 = new java.lang.Integer(100);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    int var60 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var55, (int)var59);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    int var65 = org.apache.commons.math.util.MathUtils.gcd((int)var59, (int)var64);
    int var66 = org.apache.commons.math.util.MathUtils.sign((int)var65);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    java.lang.Double var68 = new java.lang.Double(10.0d);
    double[] var69 = new double[] { var67, var68};
    double var70 = org.apache.commons.math.util.MathUtils.safeNorm(var69);
    var53.setEntry((int)var66, (double)var70);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    double[] var74 = new double[] { var72, var73};
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    java.lang.Double var76 = new java.lang.Double(10.0d);
    java.lang.Double var77 = new java.lang.Double(100.0d);
    int var78 = org.apache.commons.math.util.MathUtils.compareTo((double)var75, (double)var76, (double)var77);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var79 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var74, var76);
    double var80 = var79.getConstantTerm();
    double var81 = org.apache.commons.math.util.MathUtils.log((double)var70, (double)var80);
    var4.set((double)var80);
    double var83 = var4.getLInfNorm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);

  }

  public void test365() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    boolean var8 = var7.isNaN();
    org.apache.commons.math.linear.RealVector var9 = var7.mapAcosToSelf();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var13};
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.add(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var20};
    org.apache.commons.math.linear.OpenMapRealVector var22 = new org.apache.commons.math.linear.OpenMapRealVector(var21);
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.add(var22);
    double var24 = var15.dotProduct(var22);
    java.lang.Double var25 = new java.lang.Double(1.0d);
    java.lang.Double var26 = new java.lang.Double(1.0d);
    boolean var27 = org.apache.commons.math.util.MathUtils.equals((double)var25, (double)var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    double var32 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var25, (double)var28);
    var22.set((double)var28);
    var7.set((double)var28);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);

  }

  public void test366() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var14.mapTanhToSelf();
    org.apache.commons.math.linear.RealVector var16 = var14.mapSinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test367() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    boolean var7 = var6.isNaN();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var8};
    org.apache.commons.math.linear.OpenMapRealVector var10 = new org.apache.commons.math.linear.OpenMapRealVector(var9);
    org.apache.commons.math.linear.OpenMapRealVector var11 = var10.unitVector();
    double var12 = var6.getDistance(var10);
    org.apache.commons.math.linear.RealVector var13 = var10.mapAcos();
    double[] var14 = var10.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test368() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    double var36 = var30.getL1Distance(var35);
    org.apache.commons.math.linear.RealVector var37 = var30.mapSignum();
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var38, var39, var40};
    double var42 = var30.getDistance(var41);
    double var43 = var9.getDistance(var30);
    org.apache.commons.math.linear.RealVector var44 = var9.mapSignumToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);

  }

  public void test369() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var19 = var17.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var20 = var17.mapCosh();
    org.apache.commons.math.linear.RealVector var21 = var17.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test370() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    int var3 = var2.getDimension();
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(0.0d);
    double[] var6 = new double[] { var4, var5};
    org.apache.commons.math.linear.RealVector var7 = var2.add(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    org.apache.commons.math.linear.RealVector var19 = var12.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var12.mapInvToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var30.mapAsinToSelf();
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(0.0d);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.ArrayRealVector var37 = new org.apache.commons.math.linear.ArrayRealVector(var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    org.apache.commons.math.linear.RealVector var43 = var37.ebeDivide((org.apache.commons.math.linear.RealVector)var42);
    org.apache.commons.math.linear.RealVector var44 = var37.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var45 = var30.ebeDivide(var37);
    org.apache.commons.math.linear.RealVector var46 = var37.mapFloorToSelf();
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var12, var46);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var48 = var2.dotProduct(var46);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test371() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = var14.ebeMultiply(var18);
    org.apache.commons.math.linear.RealVector var20 = var19.mapAsin();
    java.lang.Integer var21 = new java.lang.Integer(100);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    int var26 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var21, (int)var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.gcd((int)var25, (int)var30);
    double var32 = org.apache.commons.math.util.MathUtils.factorialLog((int)var25);
    var19.set((double)var32);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var34 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var35 = var34.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var36 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var34);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    double[] var40 = new double[] { var37, var38, var39};
    java.lang.Integer var41 = new java.lang.Integer(10);
    int var42 = org.apache.commons.math.util.MathUtils.indicator((int)var41);
    java.lang.Integer var43 = new java.lang.Integer(100);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    int var48 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var43, (int)var47);
    java.lang.Integer var49 = new java.lang.Integer(100);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    int var54 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var49, (int)var53);
    int var55 = org.apache.commons.math.util.MathUtils.lcm((int)var47, (int)var54);
    var34.setData(var40, (int)var42, (int)var55);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.linear.MatrixIndexException with canonical name: org.apache.commons.math.linear.MatrixIndexException
    // This behavior will recorded for regression testing.
    try {
      double var57 = var19.getEntry((int)var42);
      fail("Expected exception of type org.apache.commons.math.linear.MatrixIndexException");
    } catch (org.apache.commons.math.linear.MatrixIndexException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test372() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var26 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = var26.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var26);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    double[] var32 = new double[] { };
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var33, var34, var35};
    double var37 = org.apache.commons.math.util.MathUtils.distanceInf(var32, var36);
    double var38 = var28.evaluate(var31, (double)var37);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    java.lang.Double var40 = new java.lang.Double(10.0d);
    double[] var41 = new double[] { var39, var40};
    org.apache.commons.math.complex.ComplexField var42 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var43 = var42.getZero();
    double var44 = var43.getArgument();
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    java.lang.Integer var49 = new java.lang.Integer(0);
    java.lang.Long var50 = new java.lang.Long(100L);
    int var51 = org.apache.commons.math.util.MathUtils.pow((int)var49, (long)var50);
    int var52 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var48, (int)var49);
    java.lang.Integer var53 = new java.lang.Integer(100);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    java.lang.Integer var58 = new java.lang.Integer(0);
    java.lang.Long var59 = new java.lang.Long(100L);
    int var60 = org.apache.commons.math.util.MathUtils.pow((int)var58, (long)var59);
    int var61 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var57, (int)var58);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var53, (int)var57);
    double var63 = var28.evaluate(var41, (double)var44, (int)var49, (int)var62);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var64 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var28};
    var24.setMeanImpl(var64);
    double[] var66 = var24.getSum();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var67 = var24.getSumImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);

  }

//  public void test373() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    double[] var1 = new double[] { var0};
//    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
//    java.lang.Double var3 = new java.lang.Double((-1.0d));
//    double[] var4 = new double[] { var3};
//    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
//    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
//    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    java.lang.Double var9 = new java.lang.Double(0.0d);
//    java.lang.Double var10 = new java.lang.Double((-1.0d));
//    double[] var11 = new double[] { var8, var9, var10};
//    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
//    java.lang.Double var13 = new java.lang.Double((-1.0d));
//    java.lang.Double var14 = new java.lang.Double(0.0d);
//    java.lang.Double var15 = new java.lang.Double((-1.0d));
//    double[] var16 = new double[] { var13, var14, var15};
//    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
//    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
//    java.lang.Double var19 = new java.lang.Double(0.0d);
//    java.lang.Double var20 = new java.lang.Double((-1.0d));
//    java.lang.Double var21 = new java.lang.Double((-1.0d));
//    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
//    org.apache.commons.math.linear.RealVector var23 = var12.mapDivide((double)var20);
//    org.apache.commons.math.linear.RealVector var24 = var7.mapSubtractToSelf((double)var20);
//    double var25 = var7.getSparcity();
//    java.lang.Double var26 = new java.lang.Double((-1.0d));
//    double[] var27 = new double[] { var26};
//    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
//    int var29 = var28.getDimension();
//    java.lang.Double var30 = new java.lang.Double((-1.0d));
//    java.lang.Double var31 = new java.lang.Double(0.0d);
//    java.lang.Double var32 = new java.lang.Double((-1.0d));
//    double[] var33 = new double[] { var30, var31, var32};
//    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
//    java.lang.Double var35 = new java.lang.Double((-1.0d));
//    java.lang.Double var36 = new java.lang.Double(0.0d);
//    java.lang.Double var37 = new java.lang.Double((-1.0d));
//    double[] var38 = new double[] { var35, var36, var37};
//    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
//    org.apache.commons.math.linear.RealVector var40 = var34.ebeDivide((org.apache.commons.math.linear.RealVector)var39);
//    java.lang.Double var41 = new java.lang.Double((-1.0d));
//    java.lang.Double var42 = new java.lang.Double(10.0d);
//    java.lang.Double var43 = new java.lang.Double(100.0d);
//    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
//    org.apache.commons.math.linear.RealVector var45 = var39.mapPowToSelf((double)var43);
//    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var29, var43);
//    java.lang.Double var47 = new java.lang.Double((-1.0d));
//    java.lang.Double var48 = new java.lang.Double(10.0d);
//    java.lang.Double var49 = new java.lang.Double(1.0d);
//    java.lang.Double var50 = new java.lang.Double(1.0d);
//    boolean var51 = org.apache.commons.math.util.MathUtils.equals((double)var49, (double)var50);
//    int var52 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
//    java.lang.Double var53 = new java.lang.Double((-1.0d));
//    java.lang.Double var54 = new java.lang.Double(0.0d);
//    java.lang.Double var55 = new java.lang.Double((-1.0d));
//    double[] var56 = new double[] { var53, var54, var55};
//    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
//    java.lang.Double var58 = new java.lang.Double((-1.0d));
//    java.lang.Double var59 = new java.lang.Double(0.0d);
//    java.lang.Double var60 = new java.lang.Double((-1.0d));
//    double[] var61 = new double[] { var58, var59, var60};
//    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
//    org.apache.commons.math.linear.RealVector var63 = var57.ebeDivide((org.apache.commons.math.linear.RealVector)var62);
//    org.apache.commons.math.linear.RealVector var64 = var57.mapLog10ToSelf();
//    java.lang.Double var65 = new java.lang.Double(1.0d);
//    org.apache.commons.math.linear.RealVector var66 = var57.mapMultiplyToSelf((double)var65);
//    double var67 = org.apache.commons.math.util.MathUtils.indicator((double)var65);
//    java.lang.Double var68 = new java.lang.Double((-1.0d));
//    java.lang.Double var69 = new java.lang.Double(10.0d);
//    java.lang.Double var70 = new java.lang.Double(100.0d);
//    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var68, (double)var69, (double)var70);
//    double var72 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var65, (double)var69);
//    java.lang.Integer var73 = new java.lang.Integer(10);
//    java.lang.Integer var74 = new java.lang.Integer(10);
//    double var75 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var73, (int)var74);
//    java.lang.Integer var76 = new java.lang.Integer(0);
//    java.lang.Long var77 = new java.lang.Long(100L);
//    int var78 = org.apache.commons.math.util.MathUtils.pow((int)var76, (long)var77);
//    double var79 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var74, (int)var76);
//    boolean var80 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var49, (double)var69, (int)var76);
//    org.apache.commons.math.linear.RealVector var81 = var46.mapMultiplyToSelf((double)var49);
//    org.apache.commons.math.linear.RealVector var82 = var7.mapPow((double)var49);
//    
//    // Checks the contract:  equals-hashcode on var23 and var45
//    assertTrue("Contract failed: equals-hashcode on var23 and var45", var23.equals(var45) ? var23.hashCode() == var45.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var45 and var23
//    assertTrue("Contract failed: equals-hashcode on var45 and var23", var45.equals(var23) ? var45.hashCode() == var23.hashCode() : true);
//
//  }

//  public void test374() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(10.0d);
//    java.lang.Double var2 = new java.lang.Double(100.0d);
//    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
//    java.lang.Integer var4 = new java.lang.Integer(0);
//    java.lang.Long var5 = new java.lang.Long(100L);
//    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
//    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
//    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
//    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
//    int var10 = var8.getRadixDigits();
//    java.lang.Double var11 = new java.lang.Double((-1.0d));
//    java.lang.Double var12 = new java.lang.Double(10.0d);
//    java.lang.Double var13 = new java.lang.Double(100.0d);
//    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
//    java.lang.Integer var15 = new java.lang.Integer(0);
//    java.lang.Long var16 = new java.lang.Long(100L);
//    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
//    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
//    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
//    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
//    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
//    var8.setRoundingMode(var21);
//    int var23 = var8.getIEEEFlags();
//    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
//    java.lang.Double var25 = new java.lang.Double((-1.0d));
//    java.lang.Double var26 = new java.lang.Double(10.0d);
//    java.lang.Double var27 = new java.lang.Double(100.0d);
//    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
//    java.lang.Integer var29 = new java.lang.Integer(0);
//    java.lang.Long var30 = new java.lang.Long(100L);
//    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
//    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
//    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
//    org.apache.commons.math.dfp.Dfp[] var34 = var33.getPiSplit();
//    org.apache.commons.math.dfp.Dfp var35 = var33.getE();
//    java.lang.Double var36 = new java.lang.Double((-1.0d));
//    java.lang.Double var37 = new java.lang.Double(10.0d);
//    java.lang.Double var38 = new java.lang.Double(100.0d);
//    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
//    java.lang.Integer var40 = new java.lang.Integer(0);
//    java.lang.Long var41 = new java.lang.Long(100L);
//    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
//    int var43 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var39, (int)var40);
//    org.apache.commons.math.dfp.DfpField var44 = new org.apache.commons.math.dfp.DfpField(var39);
//    org.apache.commons.math.dfp.Dfp var45 = var44.getOne();
//    java.lang.Double var46 = new java.lang.Double((-1.0d));
//    java.lang.Double var47 = new java.lang.Double(10.0d);
//    java.lang.Double var48 = new java.lang.Double(100.0d);
//    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
//    java.lang.Integer var50 = new java.lang.Integer(0);
//    java.lang.Long var51 = new java.lang.Long(100L);
//    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
//    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
//    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
//    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
//    java.lang.Double var56 = new java.lang.Double((-1.0d));
//    java.lang.Double var57 = new java.lang.Double(10.0d);
//    java.lang.Double var58 = new java.lang.Double(100.0d);
//    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
//    java.lang.Integer var60 = new java.lang.Integer(0);
//    java.lang.Long var61 = new java.lang.Long(100L);
//    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
//    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
//    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
//    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
//    org.apache.commons.math.dfp.Dfp var66 = var54.newDfp(var65);
//    java.lang.Double var67 = new java.lang.Double((-1.0d));
//    java.lang.Double var68 = new java.lang.Double(10.0d);
//    java.lang.Double var69 = new java.lang.Double(100.0d);
//    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
//    java.lang.Integer var71 = new java.lang.Integer(0);
//    java.lang.Long var72 = new java.lang.Long(100L);
//    int var73 = org.apache.commons.math.util.MathUtils.pow((int)var71, (long)var72);
//    int var74 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var70, (int)var71);
//    org.apache.commons.math.dfp.DfpField var75 = new org.apache.commons.math.dfp.DfpField(var70);
//    org.apache.commons.math.dfp.Dfp var76 = var75.getOne();
//    boolean var77 = var65.greaterThan(var76);
//    org.apache.commons.math.dfp.Dfp var78 = var45.remainder(var76);
//    org.apache.commons.math.dfp.Dfp var79 = new org.apache.commons.math.dfp.Dfp(var78);
//    org.apache.commons.math.dfp.Dfp var80 = var35.add(var78);
//    org.apache.commons.math.dfp.Dfp var81 = org.apache.commons.math.dfp.Dfp.copysign(var24, var35);
//    org.apache.commons.math.dfp.Dfp var82 = org.apache.commons.math.dfp.DfpMath.acos(var35);
//    
//    // Checks the contract:  var82.equals(var82)
//    assertTrue("Contract failed: var82.equals(var82)", var82.equals(var82));
//
//  }

  public void test375() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(100.0d);
    double[] var18 = new double[] { var15, var16, var17};
    org.apache.commons.math.linear.RealVector var19 = var5.add(var18);
    org.apache.commons.math.linear.RealVector var20 = var5.mapCeilToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var21};
    org.apache.commons.math.linear.OpenMapRealVector var23 = new org.apache.commons.math.linear.OpenMapRealVector(var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var24};
    org.apache.commons.math.linear.OpenMapRealVector var26 = new org.apache.commons.math.linear.OpenMapRealVector(var25);
    org.apache.commons.math.linear.OpenMapRealVector var27 = var23.add(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    boolean var29 = var28.isNaN();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var28.mapDivideToSelf((double)var34);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var42};
    org.apache.commons.math.linear.OpenMapRealVector var44 = new org.apache.commons.math.linear.OpenMapRealVector(var43);
    org.apache.commons.math.linear.OpenMapRealVector var45 = var41.add(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var46};
    org.apache.commons.math.linear.OpenMapRealVector var48 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var49};
    org.apache.commons.math.linear.OpenMapRealVector var51 = new org.apache.commons.math.linear.OpenMapRealVector(var50);
    org.apache.commons.math.linear.OpenMapRealVector var52 = var48.add(var51);
    double var53 = var44.dotProduct(var51);
    org.apache.commons.math.linear.RealVector var54 = var51.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var55 = var51.copy();
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    org.apache.commons.math.linear.RealVector var60 = var51.mapMultiply((double)var57);
    org.apache.commons.math.complex.Complex var61 = new org.apache.commons.math.complex.Complex(var34, var57);
    org.apache.commons.math.linear.OpenMapRealVector var62 = var5.mapAdd((double)var57);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);

  }

  public void test376() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
    org.apache.commons.math.dfp.Dfp[] var34 = var33.getPiSplit();
    org.apache.commons.math.dfp.Dfp var35 = var33.getE();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    java.lang.Integer var40 = new java.lang.Integer(0);
    java.lang.Long var41 = new java.lang.Long(100L);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
    int var43 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var39, (int)var40);
    org.apache.commons.math.dfp.DfpField var44 = new org.apache.commons.math.dfp.DfpField(var39);
    org.apache.commons.math.dfp.Dfp var45 = var44.getOne();
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Integer var60 = new java.lang.Integer(0);
    java.lang.Long var61 = new java.lang.Long(100L);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
    org.apache.commons.math.dfp.Dfp var66 = var54.newDfp(var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    java.lang.Integer var71 = new java.lang.Integer(0);
    java.lang.Long var72 = new java.lang.Long(100L);
    int var73 = org.apache.commons.math.util.MathUtils.pow((int)var71, (long)var72);
    int var74 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var70, (int)var71);
    org.apache.commons.math.dfp.DfpField var75 = new org.apache.commons.math.dfp.DfpField(var70);
    org.apache.commons.math.dfp.Dfp var76 = var75.getOne();
    boolean var77 = var65.greaterThan(var76);
    org.apache.commons.math.dfp.Dfp var78 = var45.remainder(var76);
    org.apache.commons.math.dfp.Dfp var79 = new org.apache.commons.math.dfp.Dfp(var78);
    org.apache.commons.math.dfp.Dfp var80 = var35.add(var78);
    org.apache.commons.math.dfp.Dfp var81 = org.apache.commons.math.dfp.Dfp.copysign(var24, var35);
    double var82 = var24.toDouble();
    java.lang.Integer var83 = new java.lang.Integer(0);
    org.apache.commons.math.dfp.Dfp var84 = var24.newInstance((int)var83);
    double var85 = var24.toDouble();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test377() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.cos();
    double var4 = var3.abs();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test378() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
    int var11 = var8.getRadixDigits();
    int var12 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp[] var13 = var8.getLn2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test379() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    boolean var40 = org.apache.commons.math.util.MathUtils.equals((double)var38, (double)var39);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    org.apache.commons.math.linear.RealVector var52 = var46.ebeDivide((org.apache.commons.math.linear.RealVector)var51);
    org.apache.commons.math.linear.RealVector var53 = var46.mapLog10ToSelf();
    java.lang.Double var54 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var55 = var46.mapMultiplyToSelf((double)var54);
    double var56 = org.apache.commons.math.util.MathUtils.indicator((double)var54);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    double var61 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var54, (double)var58);
    java.lang.Integer var62 = new java.lang.Integer(10);
    java.lang.Integer var63 = new java.lang.Integer(10);
    double var64 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var62, (int)var63);
    java.lang.Integer var65 = new java.lang.Integer(0);
    java.lang.Long var66 = new java.lang.Long(100L);
    int var67 = org.apache.commons.math.util.MathUtils.pow((int)var65, (long)var66);
    double var68 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var63, (int)var65);
    boolean var69 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var38, (double)var58, (int)var65);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var70 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var69);
    double var71 = var70.getResult();
    org.apache.commons.math.linear.RealVector var72 = var35.mapPowToSelf((double)var71);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);

  }

  public void test380() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var3 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var4 = var3.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var5 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var3);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(1.0d);
    java.lang.Double var8 = new java.lang.Double(1.0d);
    double[] var9 = new double[] { var6, var7, var8};
    java.lang.Integer var10 = new java.lang.Integer(10);
    int var11 = org.apache.commons.math.util.MathUtils.indicator((int)var10);
    java.lang.Integer var12 = new java.lang.Integer(100);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    int var17 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var12, (int)var16);
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    int var24 = org.apache.commons.math.util.MathUtils.lcm((int)var16, (int)var23);
    var3.setData(var9, (int)var11, (int)var24);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(10.0d);
    double[] var29 = new double[] { var26, var27, var28};
    double var30 = var3.evaluate(var29);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var31 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var3);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation.copy(var0, var31);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test381() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    org.apache.commons.math.dfp.Dfp var38 = org.apache.commons.math.dfp.DfpMath.pow(var30, (int)var37);
    org.apache.commons.math.dfp.Dfp var39 = org.apache.commons.math.dfp.DfpMath.acos(var38);
    org.apache.commons.math.dfp.Dfp var40 = org.apache.commons.math.dfp.DfpMath.atan(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    java.lang.Integer var45 = new java.lang.Integer(0);
    java.lang.Long var46 = new java.lang.Long(100L);
    int var47 = org.apache.commons.math.util.MathUtils.pow((int)var45, (long)var46);
    int var48 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var44, (int)var45);
    org.apache.commons.math.dfp.DfpField var49 = new org.apache.commons.math.dfp.DfpField(var44);
    org.apache.commons.math.dfp.Dfp var50 = var49.getOne();
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    java.lang.Integer var55 = new java.lang.Integer(0);
    java.lang.Long var56 = new java.lang.Long(100L);
    int var57 = org.apache.commons.math.util.MathUtils.pow((int)var55, (long)var56);
    int var58 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var54, (int)var55);
    org.apache.commons.math.dfp.DfpField var59 = new org.apache.commons.math.dfp.DfpField(var54);
    org.apache.commons.math.dfp.Dfp var60 = var59.getOne();
    org.apache.commons.math.dfp.Dfp var61 = var49.newDfp(var60);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(10.0d);
    java.lang.Double var64 = new java.lang.Double(100.0d);
    int var65 = org.apache.commons.math.util.MathUtils.compareTo((double)var62, (double)var63, (double)var64);
    java.lang.Integer var66 = new java.lang.Integer(0);
    java.lang.Long var67 = new java.lang.Long(100L);
    int var68 = org.apache.commons.math.util.MathUtils.pow((int)var66, (long)var67);
    int var69 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var65, (int)var66);
    org.apache.commons.math.dfp.DfpField var70 = new org.apache.commons.math.dfp.DfpField(var65);
    org.apache.commons.math.dfp.Dfp var71 = var70.getOne();
    boolean var72 = var60.greaterThan(var71);
    boolean var73 = var40.lessThan(var71);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);

  }

  public void test382() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    var8.clearIEEEFlags();
    var8.clearIEEEFlags();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test383() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(10.0d);
    java.lang.Double var5 = new java.lang.Double(100.0d);
    int var6 = org.apache.commons.math.util.MathUtils.compareTo((double)var3, (double)var4, (double)var5);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var7 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var2, var4);
    double var8 = var7.getConstantTerm();
    java.lang.Double var9 = new java.lang.Double(1.0d);
    java.lang.Double var10 = new java.lang.Double(0.0d);
    double[] var11 = new double[] { var9, var10};
    double var12 = org.apache.commons.math.util.MathUtils.safeNorm(var11);
    java.lang.Integer var13 = new java.lang.Integer(100);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(10.0d);
    java.lang.Double var16 = new java.lang.Double(100.0d);
    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
    int var18 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var13, (int)var17);
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    double var31 = org.apache.commons.math.util.MathUtils.round((double)var12, (int)var18, (int)var29);
    boolean var32 = var7.equals((java.lang.Object)var29);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test384() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    org.apache.commons.math.dfp.Dfp var12 = new org.apache.commons.math.dfp.Dfp(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(1.0d);
    double[] var15 = new double[] { var13, var14};
    java.lang.Double var16 = new java.lang.Double(0.0d);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var15, var16);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapLog10ToSelf();
    java.lang.Double var33 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var34 = var25.mapMultiplyToSelf((double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.indicator((double)var33);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var36};
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    org.apache.commons.math.linear.OpenMapRealVector var42 = var38.add(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var43};
    org.apache.commons.math.linear.OpenMapRealVector var45 = new org.apache.commons.math.linear.OpenMapRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var46};
    org.apache.commons.math.linear.OpenMapRealVector var48 = new org.apache.commons.math.linear.OpenMapRealVector(var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = var45.add(var48);
    double var50 = var41.dotProduct(var48);
    org.apache.commons.math.linear.RealVector var51 = var48.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var52 = var48.copy();
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    int var56 = org.apache.commons.math.util.MathUtils.compareTo((double)var53, (double)var54, (double)var55);
    org.apache.commons.math.linear.RealVector var57 = var48.mapMultiply((double)var54);
    double var58 = org.apache.commons.math.util.MathUtils.nextAfter((double)var33, (double)var54);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(0.0d);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    double[] var62 = new double[] { var59, var60, var61};
    org.apache.commons.math.linear.ArrayRealVector var63 = new org.apache.commons.math.linear.ArrayRealVector(var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(0.0d);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    double[] var67 = new double[] { var64, var65, var66};
    org.apache.commons.math.linear.ArrayRealVector var68 = new org.apache.commons.math.linear.ArrayRealVector(var67);
    org.apache.commons.math.linear.RealVector var69 = var63.ebeDivide((org.apache.commons.math.linear.RealVector)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    java.lang.Double var74 = new java.lang.Double(1.0d);
    java.lang.Double var75 = new java.lang.Double(1.0d);
    boolean var76 = org.apache.commons.math.util.MathUtils.equals((double)var74, (double)var75);
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    boolean var81 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var72, (double)var75, (double)var79);
    org.apache.commons.math.linear.RealVector var82 = var63.append((double)var75);
    int var83 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var54, (double)var75);
    org.apache.commons.math.dfp.Dfp var84 = var12.newInstance((double)var16);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test385() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sinh();
    org.apache.commons.math.complex.ComplexField var3 = var1.getField();
    org.apache.commons.math.complex.Complex var4 = var1.exp();
    double[] var5 = new double[] { };
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double(0.0d);
    double[] var9 = new double[] { var6, var7, var8};
    double var10 = org.apache.commons.math.util.MathUtils.distanceInf(var5, var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.complex.Complex var15 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var10, (double)var11);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var29 = var20.mapCeilToSelf();
    double var30 = var20.getL1Norm();
    java.lang.Float var31 = new java.lang.Float(0.0f);
    java.lang.Float var32 = new java.lang.Float((-1.0f));
    boolean var33 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var31, (float)var32);
    java.lang.Float var34 = new java.lang.Float(100.0f);
    java.lang.Float var35 = new java.lang.Float(0.0f);
    java.lang.Integer var36 = new java.lang.Integer(0);
    boolean var37 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var34, (float)var35, (int)var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    org.apache.commons.math.linear.RealVector var49 = var42.mapAtanToSelf();
    java.lang.Integer var50 = new java.lang.Integer(100);
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double(10.0d);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    int var55 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var50, (int)var54);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    int var60 = org.apache.commons.math.util.MathUtils.gcd((int)var54, (int)var59);
    int var61 = org.apache.commons.math.util.MathUtils.sign((int)var60);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    java.lang.Double var63 = new java.lang.Double(10.0d);
    double[] var64 = new double[] { var62, var63};
    double var65 = org.apache.commons.math.util.MathUtils.safeNorm(var64);
    var42.setEntry((int)var61, (double)var65);
    boolean var67 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var32, (float)var35, (int)var61);
    boolean var68 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var10, (double)var30, (int)var61);
    org.apache.commons.math.complex.Complex var69 = var1.multiply((double)var30);
    org.apache.commons.math.complex.Complex var70 = var69.acos();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);

  }

  public void test386() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var1.sqrt1z();
    org.apache.commons.math.complex.Complex var3 = var1.cosh();
    boolean var4 = var3.isNaN();
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var5};
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    int var8 = var7.getDimension();
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double(0.0d);
    double[] var11 = new double[] { var9, var10};
    org.apache.commons.math.linear.RealVector var12 = var7.add(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var13};
    org.apache.commons.math.linear.OpenMapRealVector var15 = new org.apache.commons.math.linear.OpenMapRealVector(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var16};
    org.apache.commons.math.linear.OpenMapRealVector var18 = new org.apache.commons.math.linear.OpenMapRealVector(var17);
    org.apache.commons.math.linear.OpenMapRealVector var19 = var15.add(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    boolean var21 = var20.isNaN();
    org.apache.commons.math.linear.RealVector var22 = var20.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var7.ebeMultiply(var22);
    int var24 = var7.getDimension();
    java.util.List var25 = var3.nthRoot((int)var24);
    org.apache.commons.math.complex.Complex var26 = var3.tanh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test387() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    int var25 = var24.log10();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test388() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    org.apache.commons.math.linear.RealVector var17 = var14.mapSqrt();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test389() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.complex.ComplexField var25 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var26 = var25.getZero();
    org.apache.commons.math.complex.Complex var27 = var26.sinh();
    double var28 = var26.getImaginary();
    java.lang.Double var29 = new java.lang.Double(10.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    org.apache.commons.math.linear.RealVector var34 = var33.mapLog1pToSelf();
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(1.0d);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    boolean var39 = org.apache.commons.math.util.MathUtils.equals((double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.linear.RealVector var41 = var33.mapDivideToSelf((double)var37);
    double var42 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var28, (double)var37);
    org.apache.commons.math.linear.RealVector var43 = var24.mapAdd((double)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);

  }

  public void test390() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    float var6 = org.apache.commons.math.util.MathUtils.round((float)var0, (int)var3);
    java.lang.Float var7 = new java.lang.Float(0.0f);
    java.lang.Float var8 = new java.lang.Float((-1.0f));
    boolean var9 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var7, (float)var8);
    java.lang.Integer var10 = new java.lang.Integer(0);
    java.lang.Long var11 = new java.lang.Long(100L);
    int var12 = org.apache.commons.math.util.MathUtils.pow((int)var10, (long)var11);
    float var13 = org.apache.commons.math.util.MathUtils.round((float)var7, (int)var10);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(0.0d);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    double[] var22 = new double[] { var19, var20, var21};
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var22);
    org.apache.commons.math.linear.RealVector var24 = var18.ebeDivide((org.apache.commons.math.linear.RealVector)var23);
    int var25 = var18.getMaxIndex();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(100.0d);
    int var29 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    java.lang.Double var30 = new java.lang.Double(1.0d);
    java.lang.Double var31 = new java.lang.Double(1.0d);
    boolean var32 = org.apache.commons.math.util.MathUtils.equals((double)var30, (double)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    boolean var37 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var28, (double)var31, (double)var35);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var38 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var25, var37);
    boolean var39 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var6, (float)var7, (int)var25);
    java.lang.Float var40 = new java.lang.Float(100.0f);
    boolean var41 = org.apache.commons.math.util.MathUtils.equals((float)var7, (float)var40);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test391() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(10.0d);
    java.lang.Double var1 = new java.lang.Double(1.0d);
    double[] var2 = new double[] { var0, var1};
    double[] var3 = new double[] { };
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    double[] var7 = new double[] { var4, var5, var6};
    double var8 = org.apache.commons.math.util.MathUtils.distanceInf(var3, var7);
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    org.apache.commons.math.complex.Complex var13 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var8, (double)var9);
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var14, var15};
    java.lang.Double var17 = new java.lang.Double(1.0d);
    java.lang.Double var18 = new java.lang.Double(1.0d);
    boolean var19 = org.apache.commons.math.util.MathUtils.equals((double)var17, (double)var18);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    double var24 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var17, (double)var20);
    double[] var25 = org.apache.commons.math.util.MathUtils.normalizeArray(var16, (double)var17);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    java.lang.Integer var29 = new java.lang.Integer(100);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(10.0d);
    java.lang.Double var32 = new java.lang.Double(100.0d);
    int var33 = org.apache.commons.math.util.MathUtils.compareTo((double)var30, (double)var31, (double)var32);
    int var34 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var29, (int)var33);
    java.lang.Integer var35 = new java.lang.Integer(100);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var35, (int)var39);
    int var41 = org.apache.commons.math.util.MathUtils.lcm((int)var33, (int)var40);
    int var42 = org.apache.commons.math.util.MathUtils.lcm((int)var26, (int)var40);
    boolean var43 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var8, (double)var17, (int)var40);
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var2, var43);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);

  }

  public void test392() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    double[] var13 = new double[] { var11, var12};
    java.lang.Double var14 = new java.lang.Double(1.0d);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    boolean var16 = org.apache.commons.math.util.MathUtils.equals((double)var14, (double)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    double var21 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var14, (double)var17);
    double[] var22 = org.apache.commons.math.util.MathUtils.normalizeArray(var13, (double)var14);
    java.lang.Integer var23 = new java.lang.Integer(0);
    java.lang.Long var24 = new java.lang.Long(100L);
    int var25 = org.apache.commons.math.util.MathUtils.pow((int)var23, (long)var24);
    java.lang.Integer var26 = new java.lang.Integer(100);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var26, (int)var30);
    java.lang.Integer var32 = new java.lang.Integer(100);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    int var37 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var32, (int)var36);
    int var38 = org.apache.commons.math.util.MathUtils.lcm((int)var30, (int)var37);
    int var39 = org.apache.commons.math.util.MathUtils.lcm((int)var23, (int)var37);
    boolean var40 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var5, (double)var14, (int)var37);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var41 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var40);
    double[] var42 = var41.getData();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertTrue(var42 == null);

  }

  public void test393() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    org.apache.commons.math.linear.RealVector var33 = var27.mapPowToSelf((double)var31);
    java.lang.Double[] var34 = new java.lang.Double[] { var31};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    double var36 = var35.getL1Norm();
    double var37 = var17.dotProduct((org.apache.commons.math.linear.RealVector)var35);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(0.0d);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    double[] var41 = new double[] { var38, var39, var40};
    org.apache.commons.math.linear.ArrayRealVector var42 = new org.apache.commons.math.linear.ArrayRealVector(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var43, var44, var45};
    org.apache.commons.math.linear.ArrayRealVector var47 = new org.apache.commons.math.linear.ArrayRealVector(var46);
    org.apache.commons.math.linear.RealVector var48 = var42.ebeDivide((org.apache.commons.math.linear.RealVector)var47);
    int var49 = var42.getMaxIndex();
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    java.lang.Double var54 = new java.lang.Double(1.0d);
    java.lang.Double var55 = new java.lang.Double(1.0d);
    boolean var56 = org.apache.commons.math.util.MathUtils.equals((double)var54, (double)var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(100.0d);
    int var60 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    boolean var61 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var52, (double)var55, (double)var59);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var62 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var49, var61);
    double[] var63 = var62.getStandardDeviation();
    int var64 = var62.getDimension();
    double var65 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var64);
    double var66 = org.apache.commons.math.util.MathUtils.scalb((double)var37, (int)var64);
    int var67 = org.apache.commons.math.util.MathUtils.hash((double)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);

  }

  public void test394() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapLog1pToSelf();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    java.lang.Double var6 = new java.lang.Double(1.0d);
    java.lang.Double var7 = new java.lang.Double(1.0d);
    boolean var8 = org.apache.commons.math.util.MathUtils.equals((double)var6, (double)var7);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var4, (double)var5, (double)var6);
    org.apache.commons.math.linear.RealVector var10 = var2.mapDivideToSelf((double)var6);
    org.apache.commons.math.linear.RealVector var11 = var2.mapAsinToSelf();
    double[] var12 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var13 = var2.getLInfDistance(var12);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test395() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp var11 = var8.getPi();
    org.apache.commons.math.dfp.Dfp var12 = var8.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test396() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(10.0f);
    float[] var1 = new float[] { var0};
    float[] var2 = new float[] { };
    boolean var3 = org.apache.commons.math.util.MathUtils.equals(var1, var2);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test397() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(10.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.util.MathUtils.checkOrder(var1);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);

  }

  public void test398() throws Throwable {

    java.lang.Short var0 = new java.lang.Short((short)0);
    short var1 = org.apache.commons.math.util.MathUtils.sign((short)var0);
    short var2 = org.apache.commons.math.util.MathUtils.sign((short)var0);
    short var3 = org.apache.commons.math.util.MathUtils.indicator((short)var0);

  }

  public void test399() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    org.apache.commons.math.linear.OpenMapRealVector var15 = var2.add(var13);
    java.lang.Integer var16 = new java.lang.Integer(100);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    java.lang.Integer var21 = new java.lang.Integer(0);
    java.lang.Long var22 = new java.lang.Long(100L);
    int var23 = org.apache.commons.math.util.MathUtils.pow((int)var21, (long)var22);
    int var24 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var20, (int)var21);
    int var25 = org.apache.commons.math.util.MathUtils.pow((int)var16, (int)var20);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    org.apache.commons.math.linear.RealVector var36 = var30.ebeDivide((org.apache.commons.math.linear.RealVector)var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    org.apache.commons.math.linear.RealVector var41 = var35.mapPowToSelf((double)var39);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var42, var43, var44};
    org.apache.commons.math.linear.ArrayRealVector var46 = new org.apache.commons.math.linear.ArrayRealVector(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    org.apache.commons.math.linear.RealVector var52 = var46.ebeDivide((org.apache.commons.math.linear.RealVector)var51);
    org.apache.commons.math.linear.RealVector var53 = var46.mapRintToSelf();
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(0.0d);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    double[] var57 = new double[] { var54, var55, var56};
    org.apache.commons.math.linear.ArrayRealVector var58 = new org.apache.commons.math.linear.ArrayRealVector(var57);
    org.apache.commons.math.linear.RealVector var59 = var58.mapExpm1();
    org.apache.commons.math.linear.RealVector var60 = var46.projection(var59);
    double var61 = var46.getMinValue();
    boolean var62 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var39, (double)var61);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var63 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var20, var62);
    double var64 = var13.getEntry((int)var20);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test400() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var25 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    var25.incrementAll(var27);
    double var29 = var25.getResult();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test401() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.RealMatrix var15 = var9.outerProduct(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test402() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    java.lang.Double var19 = new java.lang.Double(1.0d);
    java.lang.Double var20 = new java.lang.Double(1.0d);
    boolean var21 = org.apache.commons.math.util.MathUtils.equals((double)var19, (double)var20);
    org.apache.commons.math.linear.RealVector var22 = var18.mapDivide((double)var20);
    org.apache.commons.math.linear.ArrayRealVector var23 = var4.subtract(var18);
    org.apache.commons.math.linear.RealVector var24 = var4.mapExpm1ToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test403() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var27 = var9.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var28 = var9.mapAsinToSelf();
    org.apache.commons.math.linear.RealVector var29 = var9.mapSqrtToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test404() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    org.apache.commons.math.linear.ArrayRealVector var11 = new org.apache.commons.math.linear.ArrayRealVector(var10);
    org.apache.commons.math.linear.RealVector var12 = var11.mapTan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test405() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapAcosToSelf();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(10.0d);
    java.lang.Double var30 = new java.lang.Double(100.0d);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var28, (double)var29, (double)var30);
    org.apache.commons.math.linear.RealVector var32 = var26.mapPowToSelf((double)var30);
    java.lang.Double[] var33 = new java.lang.Double[] { var30};
    org.apache.commons.math.linear.ArrayRealVector var34 = new org.apache.commons.math.linear.ArrayRealVector(var33);
    org.apache.commons.math.linear.RealVector var35 = var34.mapCbrtToSelf();
    java.lang.Integer var36 = new java.lang.Integer(100);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    int var41 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var36, (int)var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    int var46 = org.apache.commons.math.util.MathUtils.gcd((int)var40, (int)var45);
    int var47 = org.apache.commons.math.util.MathUtils.sign((int)var46);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    java.lang.Double var49 = new java.lang.Double(10.0d);
    double[] var50 = new double[] { var48, var49};
    double var51 = org.apache.commons.math.util.MathUtils.safeNorm(var50);
    var34.setEntry((int)var47, (double)var51);
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var9, var34);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var54};
    org.apache.commons.math.linear.OpenMapRealVector var56 = new org.apache.commons.math.linear.OpenMapRealVector(var55);
    int var57 = var56.getDimension();
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(0.0d);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var58, var59, var60};
    org.apache.commons.math.linear.ArrayRealVector var62 = new org.apache.commons.math.linear.ArrayRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    java.lang.Double var64 = new java.lang.Double(0.0d);
    java.lang.Double var65 = new java.lang.Double((-1.0d));
    double[] var66 = new double[] { var63, var64, var65};
    org.apache.commons.math.linear.ArrayRealVector var67 = new org.apache.commons.math.linear.ArrayRealVector(var66);
    org.apache.commons.math.linear.RealVector var68 = var62.ebeDivide((org.apache.commons.math.linear.RealVector)var67);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(10.0d);
    java.lang.Double var71 = new java.lang.Double(100.0d);
    int var72 = org.apache.commons.math.util.MathUtils.compareTo((double)var69, (double)var70, (double)var71);
    org.apache.commons.math.linear.RealVector var73 = var67.mapPowToSelf((double)var71);
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var57, var71);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var75 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction((org.apache.commons.math.linear.RealVector)var53, var71);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);

  }

  public void test406() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    double[] var1 = new double[] { var0};
    double[] var2 = new double[] { };
    boolean var3 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN(var1, var2);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test407() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var20 = var13.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var21 = var13.mapInvToSelf();
    double[] var22 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var13, var22);
    org.apache.commons.math.linear.RealVector var24 = var13.mapCbrt();
    org.apache.commons.math.linear.RealVector var25 = var13.mapExpm1ToSelf();
    java.lang.String var26 = var13.toString();
    org.apache.commons.math.dfp.Dfp var27 = var8.newDfp(var26);
    org.apache.commons.math.dfp.Dfp var28 = var8.getE();
    org.apache.commons.math.dfp.Dfp var29 = new org.apache.commons.math.dfp.Dfp(var28);
    org.apache.commons.math.dfp.Dfp var30 = org.apache.commons.math.dfp.DfpMath.tan(var28);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);

  }

  public void test408() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.util.MathUtils.checkOrder(var1);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);

  }

  public void test409() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var17);
    double var21 = var17.getMaxValue();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var33, var34, var35};
    double var37 = var31.getL1Distance(var36);
    org.apache.commons.math.linear.RealVector var38 = var31.mapAcosToSelf();
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    org.apache.commons.math.linear.RealVector var49 = var43.ebeDivide((org.apache.commons.math.linear.RealVector)var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    org.apache.commons.math.linear.RealVector var54 = var48.mapPowToSelf((double)var52);
    java.lang.Double[] var55 = new java.lang.Double[] { var52};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var56.mapCbrtToSelf();
    java.lang.Integer var58 = new java.lang.Integer(100);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    int var63 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var58, (int)var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.gcd((int)var62, (int)var67);
    int var69 = org.apache.commons.math.util.MathUtils.sign((int)var68);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    java.lang.Double var71 = new java.lang.Double(10.0d);
    double[] var72 = new double[] { var70, var71};
    double var73 = org.apache.commons.math.util.MathUtils.safeNorm(var72);
    var56.setEntry((int)var69, (double)var73);
    org.apache.commons.math.linear.ArrayRealVector var75 = new org.apache.commons.math.linear.ArrayRealVector(var31, var56);
    double var76 = var31.getNorm();
    boolean var77 = org.apache.commons.math.util.MathUtils.equals((double)var21, (double)var76);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);

  }

  public void test410() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.RealVector var7 = var5.mapAcosToSelf();
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(1.0d);
    double[] var10 = new double[] { var8, var9};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var11 = var5.projection(var10);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test411() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.dfp.Dfp var39 = var9.divide((int)var38);
    org.apache.commons.math.dfp.Dfp var40 = var9.getOne();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test412() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    org.apache.commons.math.linear.RealVector var23 = var17.mapPowToSelf((double)var21);
    java.lang.Double[] var24 = new java.lang.Double[] { var21};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var25.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var25.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var28 = var7.projection(var27);
    double[] var29 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var30 = var7.getL1Distance(var29);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);

  }

  public void test413() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(10.0d);
    java.lang.Double var25 = new java.lang.Double(100.0d);
    int var26 = org.apache.commons.math.util.MathUtils.compareTo((double)var23, (double)var24, (double)var25);
    java.lang.Integer var27 = new java.lang.Integer(0);
    java.lang.Long var28 = new java.lang.Long(100L);
    int var29 = org.apache.commons.math.util.MathUtils.pow((int)var27, (long)var28);
    int var30 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var26, (int)var27);
    org.apache.commons.math.dfp.DfpField var31 = new org.apache.commons.math.dfp.DfpField(var26);
    org.apache.commons.math.dfp.Dfp var32 = var31.getOne();
    org.apache.commons.math.dfp.Dfp var33 = var22.multiply(var32);
    org.apache.commons.math.dfp.Dfp var34 = var32.sqrt();
    int var35 = var32.log10K();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

  public void test414() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    java.lang.Double var13 = new java.lang.Double(1.0d);
    double var14 = org.apache.commons.math.util.MathUtils.sign((double)var13);
    org.apache.commons.math.complex.Complex var15 = var10.multiply((double)var14);
    org.apache.commons.math.complex.Complex var16 = var15.negate();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

//  public void test415() throws Throwable {
//
//    java.lang.Double var0 = new java.lang.Double((-1.0d));
//    java.lang.Double var1 = new java.lang.Double(10.0d);
//    java.lang.Double var2 = new java.lang.Double(100.0d);
//    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
//    java.lang.Integer var4 = new java.lang.Integer(0);
//    java.lang.Long var5 = new java.lang.Long(100L);
//    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
//    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
//    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
//    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
//    org.apache.commons.math.dfp.Dfp var10 = var8.getE();
//    org.apache.commons.math.dfp.Dfp var11 = var8.getZero();
//    org.apache.commons.math.dfp.Dfp var12 = var8.getTwo();
//    org.apache.commons.math.dfp.Dfp[] var13 = var8.getPiSplit();
//    java.lang.Double var14 = new java.lang.Double((-1.0d));
//    java.lang.Double var15 = new java.lang.Double(10.0d);
//    java.lang.Double var16 = new java.lang.Double(100.0d);
//    int var17 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var15, (double)var16);
//    java.lang.Integer var18 = new java.lang.Integer(0);
//    java.lang.Long var19 = new java.lang.Long(100L);
//    int var20 = org.apache.commons.math.util.MathUtils.pow((int)var18, (long)var19);
//    int var21 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var17, (int)var18);
//    org.apache.commons.math.dfp.DfpField var22 = new org.apache.commons.math.dfp.DfpField(var17);
//    org.apache.commons.math.dfp.Dfp var23 = var22.getOne();
//    int var24 = var23.log10K();
//    org.apache.commons.math.dfp.Dfp var25 = var8.newDfp(var23);
//    org.apache.commons.math.dfp.Dfp var26 = var8.getLn5();
//    java.lang.Double var27 = new java.lang.Double((-1.0d));
//    java.lang.Double var28 = new java.lang.Double(0.0d);
//    java.lang.Double var29 = new java.lang.Double((-1.0d));
//    double[] var30 = new double[] { var27, var28, var29};
//    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
//    java.lang.Double var32 = new java.lang.Double((-1.0d));
//    java.lang.Double var33 = new java.lang.Double(0.0d);
//    java.lang.Double var34 = new java.lang.Double((-1.0d));
//    double[] var35 = new double[] { var32, var33, var34};
//    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
//    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
//    int var38 = var31.getMaxIndex();
//    java.lang.Double var39 = new java.lang.Double((-1.0d));
//    java.lang.Double var40 = new java.lang.Double(10.0d);
//    java.lang.Double var41 = new java.lang.Double(100.0d);
//    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
//    java.lang.Double var43 = new java.lang.Double(1.0d);
//    java.lang.Double var44 = new java.lang.Double(1.0d);
//    boolean var45 = org.apache.commons.math.util.MathUtils.equals((double)var43, (double)var44);
//    java.lang.Double var46 = new java.lang.Double((-1.0d));
//    java.lang.Double var47 = new java.lang.Double(10.0d);
//    java.lang.Double var48 = new java.lang.Double(100.0d);
//    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
//    boolean var50 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var41, (double)var44, (double)var48);
//    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var51 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var38, var50);
//    java.lang.String var52 = var51.toString();
//    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var53 = var51.getSumImpl();
//    java.lang.String var54 = var51.toString();
//    org.apache.commons.math.dfp.Dfp var55 = var8.newDfp(var54);
//    
//    // Checks the contract:  equals-hashcode on var11 and var55
//    assertTrue("Contract failed: equals-hashcode on var11 and var55", var11.equals(var55) ? var11.hashCode() == var55.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var55 and var11
//    assertTrue("Contract failed: equals-hashcode on var55 and var11", var55.equals(var11) ? var55.hashCode() == var11.hashCode() : true);
//
//  }

  public void test416() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.OpenMapRealVector var22 = var2.subtract(var12);
    double var23 = var2.getMaxValue();
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(0.0d);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var24, var25, var26};
    org.apache.commons.math.linear.ArrayRealVector var28 = new org.apache.commons.math.linear.ArrayRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    org.apache.commons.math.linear.RealVector var34 = var28.ebeDivide((org.apache.commons.math.linear.RealVector)var33);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    java.lang.Double var40 = new java.lang.Double(1.0d);
    boolean var41 = org.apache.commons.math.util.MathUtils.equals((double)var39, (double)var40);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    boolean var46 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var37, (double)var40, (double)var44);
    org.apache.commons.math.linear.RealVector var47 = var28.append((double)var40);
    org.apache.commons.math.complex.Complex var48 = new org.apache.commons.math.complex.Complex(var23, var40);
    double var49 = var48.getImaginary();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test417() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double(1.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    double[] var6 = new double[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var7 = org.apache.commons.math.util.MathUtils.distance1(var3, var6);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test418() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    org.apache.commons.math.dfp.Dfp var32 = var20.newDfp(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    boolean var43 = var31.greaterThan(var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var42, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var42);
    int var52 = var42.intValue();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);

  }

  public void test419() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    double var2 = var0.getResult();
    java.lang.Double var3 = new java.lang.Double(10.0d);
    double[] var4 = new double[] { var3};
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var5};
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    int var8 = var7.getDimension();
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(10.0d);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    int var16 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var12, (int)var13);
    org.apache.commons.math.dfp.DfpField var17 = new org.apache.commons.math.dfp.DfpField(var12);
    org.apache.commons.math.dfp.Dfp[] var18 = var17.getPiSplit();
    org.apache.commons.math.dfp.Dfp var19 = var17.getE();
    int var20 = var17.getRadixDigits();
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      var0.setData(var4, (int)var8, (int)var20);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test420() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(0.0d);
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double(100.0d);
    double[] var5 = new double[] { var4};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var6 = org.apache.commons.math.util.MathUtils.distance1(var3, var5);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);

  }

  public void test421() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    double[] var6 = new double[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var7 = var2.getLInfDistance(var6);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test422() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(0.0d);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var13, var14, var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var12.ebeDivide((org.apache.commons.math.linear.RealVector)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    org.apache.commons.math.linear.RealVector var23 = var17.mapPowToSelf((double)var21);
    java.lang.Double[] var24 = new java.lang.Double[] { var21};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var25.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var27 = var25.mapFloorToSelf();
    org.apache.commons.math.linear.RealVector var28 = var7.projection(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var31.unitVector();
    java.lang.Double var33 = new java.lang.Double(10.0d);
    java.lang.Double var34 = new java.lang.Double(1.0d);
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var33, var34, var35};
    org.apache.commons.math.linear.RealVector var37 = var31.add(var36);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      double var38 = var7.getDistance(var37);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test423() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var3, var4, var5};
    java.lang.Integer var7 = new java.lang.Integer(10);
    int var8 = org.apache.commons.math.util.MathUtils.indicator((int)var7);
    java.lang.Integer var9 = new java.lang.Integer(100);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var9, (int)var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var15, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var13, (int)var20);
    var0.setData(var6, (int)var8, (int)var21);
    java.lang.Boolean var23 = new java.lang.Boolean(true);
    var0.setBiasCorrected((boolean)var23);
    java.lang.Float var25 = new java.lang.Float(0.0f);
    java.lang.Float var26 = new java.lang.Float((-1.0f));
    boolean var27 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var25, (float)var26);
    java.lang.Float var28 = new java.lang.Float(1.0f);
    java.lang.Float var29 = new java.lang.Float(0.0f);
    boolean var30 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var25, (float)var28, (float)var29);
    boolean var31 = var0.equals((java.lang.Object)var25);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(0.0d);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var37, var38, var39};
    org.apache.commons.math.linear.ArrayRealVector var41 = new org.apache.commons.math.linear.ArrayRealVector(var40);
    org.apache.commons.math.linear.RealVector var42 = var36.ebeDivide((org.apache.commons.math.linear.RealVector)var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    org.apache.commons.math.linear.RealVector var47 = var41.mapPowToSelf((double)var45);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    java.lang.Double var49 = new java.lang.Double(0.0d);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var48, var49, var50};
    org.apache.commons.math.linear.ArrayRealVector var52 = new org.apache.commons.math.linear.ArrayRealVector(var51);
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    java.lang.Double var54 = new java.lang.Double(0.0d);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    double[] var56 = new double[] { var53, var54, var55};
    org.apache.commons.math.linear.ArrayRealVector var57 = new org.apache.commons.math.linear.ArrayRealVector(var56);
    org.apache.commons.math.linear.RealVector var58 = var52.ebeDivide((org.apache.commons.math.linear.RealVector)var57);
    int var59 = var52.getMaxIndex();
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(10.0d);
    java.lang.Double var62 = new java.lang.Double(100.0d);
    int var63 = org.apache.commons.math.util.MathUtils.compareTo((double)var60, (double)var61, (double)var62);
    java.lang.Double var64 = new java.lang.Double(1.0d);
    java.lang.Double var65 = new java.lang.Double(1.0d);
    boolean var66 = org.apache.commons.math.util.MathUtils.equals((double)var64, (double)var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    boolean var71 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var62, (double)var65, (double)var69);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var72 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var59, var71);
    double[] var73 = var72.getStandardDeviation();
    int var74 = var72.getDimension();
    double var75 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var74);
    double var76 = org.apache.commons.math.util.MathUtils.scalb((double)var45, (int)var74);
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    java.lang.Integer var81 = new java.lang.Integer(0);
    java.lang.Long var82 = new java.lang.Long(100L);
    int var83 = org.apache.commons.math.util.MathUtils.pow((int)var81, (long)var82);
    int var84 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var80, (int)var81);
    float var85 = org.apache.commons.math.util.MathUtils.round((float)var25, (int)var74, (int)var80);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);

  }

  public void test424() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    org.apache.commons.math.linear.RealVector var26 = var20.ebeDivide((org.apache.commons.math.linear.RealVector)var25);
    org.apache.commons.math.linear.RealVector var27 = var20.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var20.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var29 = var4.subtract(var20);
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(0.0d);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    double[] var34 = new double[] { var31, var32, var33};
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    org.apache.commons.math.linear.RealVector var41 = var35.ebeDivide((org.apache.commons.math.linear.RealVector)var40);
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    org.apache.commons.math.linear.RealVector var46 = var35.mapDivide((double)var43);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var51.ebeDivide((org.apache.commons.math.linear.RealVector)var56);
    org.apache.commons.math.linear.RealVector var58 = var51.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var59 = var51.mapInvToSelf();
    org.apache.commons.math.linear.ArrayRealVector var60 = var35.subtract(var51);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var61, var62};
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var68 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var63, var65);
    org.apache.commons.math.linear.RealVector var69 = var51.append((double)var65);
    org.apache.commons.math.linear.ArrayRealVector var70 = new org.apache.commons.math.linear.ArrayRealVector(var30, var51);
    org.apache.commons.math.linear.RealVector var71 = var51.mapCeil();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);

  }

  public void test425() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    org.apache.commons.math.complex.Complex var3 = var1.exp();
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    boolean var6 = org.apache.commons.math.util.MathUtils.equals((double)var4, (double)var5);
    boolean var7 = var1.equals((java.lang.Object)var5);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(10.0d);
    java.lang.Double var10 = new java.lang.Double(100.0d);
    int var11 = org.apache.commons.math.util.MathUtils.compareTo((double)var8, (double)var9, (double)var10);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var21.getL1Distance(var26);
    org.apache.commons.math.linear.RealVector var28 = var21.mapSignum();
    java.lang.String var29 = var21.toString();
    java.lang.Integer var30 = new java.lang.Integer(100);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    java.lang.Double var32 = new java.lang.Double(10.0d);
    java.lang.Double var33 = new java.lang.Double(100.0d);
    int var34 = org.apache.commons.math.util.MathUtils.compareTo((double)var31, (double)var32, (double)var33);
    int var35 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var30, (int)var34);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    int var40 = org.apache.commons.math.util.MathUtils.gcd((int)var34, (int)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(0.0d);
    java.lang.Double var48 = new java.lang.Double((-1.0d));
    double[] var49 = new double[] { var46, var47, var48};
    org.apache.commons.math.linear.ArrayRealVector var50 = new org.apache.commons.math.linear.ArrayRealVector(var49);
    org.apache.commons.math.linear.RealVector var51 = var45.ebeDivide((org.apache.commons.math.linear.RealVector)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    java.lang.Double var57 = new java.lang.Double(1.0d);
    boolean var58 = org.apache.commons.math.util.MathUtils.equals((double)var56, (double)var57);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var54, (double)var57, (double)var61);
    org.apache.commons.math.linear.RealVector var64 = var45.append((double)var57);
    org.apache.commons.math.linear.RealVector var65 = var45.mapAcos();
    double[] var66 = var45.toArray();
    java.lang.Double var67 = new java.lang.Double(1.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    boolean var69 = org.apache.commons.math.util.MathUtils.equals((double)var67, (double)var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    java.lang.Double var71 = new java.lang.Double(10.0d);
    java.lang.Double var72 = new java.lang.Double(100.0d);
    int var73 = org.apache.commons.math.util.MathUtils.compareTo((double)var70, (double)var71, (double)var72);
    double var74 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var67, (double)var70);
    org.apache.commons.math.linear.RealVector var75 = var45.mapMultiplyToSelf((double)var74);
    org.apache.commons.math.linear.RealVector var76 = var45.mapSqrtToSelf();
    var21.set((int)var40, var45);
    double var78 = var21.getLInfNorm();
    boolean var79 = org.apache.commons.math.util.MathUtils.equals((double)var10, (double)var78);
    org.apache.commons.math.complex.Complex var80 = var1.multiply((double)var78);
    org.apache.commons.math.complex.Complex var81 = var1.tanh();
    org.apache.commons.math.complex.Complex var82 = var81.sinh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);

  }

//  public void test426() throws Throwable {
//
//    double[] var0 = new double[] { };
//    java.lang.Double var1 = new java.lang.Double(0.0d);
//    java.lang.Double var2 = new java.lang.Double((-1.0d));
//    java.lang.Double var3 = new java.lang.Double(0.0d);
//    double[] var4 = new double[] { var1, var2, var3};
//    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
//    java.lang.Double var6 = new java.lang.Double(0.0d);
//    java.lang.Double var7 = new java.lang.Double((-1.0d));
//    java.lang.Double var8 = new java.lang.Double((-1.0d));
//    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
//    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
//    org.apache.commons.math.complex.Complex var11 = var10.cos();
//    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
//    org.apache.commons.math.complex.Complex var13 = var12.getZero();
//    double var14 = var13.getArgument();
//    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
//    org.apache.commons.math.complex.Complex var16 = var15.sinh();
//    org.apache.commons.math.complex.Complex var17 = var15.asin();
//    
//    // Checks the contract:  equals-hashcode on var10 and var17
//    assertTrue("Contract failed: equals-hashcode on var10 and var17", var10.equals(var17) ? var10.hashCode() == var17.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var13 and var17
//    assertTrue("Contract failed: equals-hashcode on var13 and var17", var13.equals(var17) ? var13.hashCode() == var17.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var15 and var17
//    assertTrue("Contract failed: equals-hashcode on var15 and var17", var15.equals(var17) ? var15.hashCode() == var17.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var16 and var17
//    assertTrue("Contract failed: equals-hashcode on var16 and var17", var16.equals(var17) ? var16.hashCode() == var17.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var10
//    assertTrue("Contract failed: equals-hashcode on var17 and var10", var17.equals(var10) ? var17.hashCode() == var10.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var13
//    assertTrue("Contract failed: equals-hashcode on var17 and var13", var17.equals(var13) ? var17.hashCode() == var13.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var15
//    assertTrue("Contract failed: equals-hashcode on var17 and var15", var17.equals(var15) ? var17.hashCode() == var15.hashCode() : true);
//    
//    // Checks the contract:  equals-hashcode on var17 and var16
//    assertTrue("Contract failed: equals-hashcode on var17 and var16", var17.equals(var16) ? var17.hashCode() == var16.hashCode() : true);
//
//  }

  public void test427() throws Throwable {

    java.lang.Float var0 = new java.lang.Float(0.0f);
    java.lang.Float var1 = new java.lang.Float((-1.0f));
    boolean var2 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var1);
    java.lang.Integer var3 = new java.lang.Integer(0);
    java.lang.Long var4 = new java.lang.Long(100L);
    int var5 = org.apache.commons.math.util.MathUtils.pow((int)var3, (long)var4);
    float var6 = org.apache.commons.math.util.MathUtils.round((float)var0, (int)var3);
    java.lang.Float var7 = new java.lang.Float(0.0f);
    boolean var8 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var7);
    java.lang.Float var9 = new java.lang.Float(0.0f);
    java.lang.Float var10 = new java.lang.Float((-1.0f));
    boolean var11 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var9, (float)var10);
    java.lang.Float var12 = new java.lang.Float(1.0f);
    java.lang.Float var13 = new java.lang.Float(0.0f);
    boolean var14 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var9, (float)var12, (float)var13);
    float var15 = org.apache.commons.math.util.MathUtils.sign((float)var12);
    boolean var16 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var0, (float)var12);

  }

  public void test428() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    java.lang.Double[] var16 = new java.lang.Double[] { var15};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    double[] var18 = new double[] { };
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      double var19 = var17.getL1Distance(var18);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test429() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    java.lang.Double[] var11 = new java.lang.Double[] { var5};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$1 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      var12.unitize();
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test430() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    double var22 = var12.getMinValue();
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var28, var29, var30};
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var31);
    org.apache.commons.math.linear.RealVector var33 = var27.ebeDivide((org.apache.commons.math.linear.RealVector)var32);
    double var34 = var32.getNorm();
    org.apache.commons.math.linear.RealVector var35 = var32.mapCoshToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var36 = var12.append(var35);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test431() throws Throwable {

    java.lang.Integer var0 = new java.lang.Integer(100);
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    int var5 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var0, (int)var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(10.0d);
    java.lang.Double var8 = new java.lang.Double(100.0d);
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    int var10 = org.apache.commons.math.util.MathUtils.gcd((int)var4, (int)var9);
    int var11 = org.apache.commons.math.util.MathUtils.indicator((int)var10);

  }

  public void test432() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    java.lang.Double var19 = new java.lang.Double(10.0d);
    double[] var20 = new double[] { var17, var18, var19};
    double var21 = var9.getDistance(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    org.apache.commons.math.linear.RealVector var33 = var26.mapLog10ToSelf();
    java.lang.Double var34 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var35 = var26.mapMultiplyToSelf((double)var34);
    org.apache.commons.math.linear.RealVector var36 = var9.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    java.lang.Double var38 = new java.lang.Double(10.0d);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    int var40 = org.apache.commons.math.util.MathUtils.compareTo((double)var37, (double)var38, (double)var39);
    double var41 = org.apache.commons.math.util.MathUtils.cosh((double)var37);
    org.apache.commons.math.linear.RealVector var42 = var26.mapAddToSelf((double)var41);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);

  }

  public void test433() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.Complex var16 = var15.sinh();
    org.apache.commons.math.complex.Complex var17 = var15.negate();
    org.apache.commons.math.complex.Complex var18 = var15.atan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test434() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    org.apache.commons.math.complex.Complex var2 = var0.getZero();
    org.apache.commons.math.complex.Complex var3 = var0.getZero();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test435() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Integer var16 = new java.lang.Integer(10);
    int var17 = org.apache.commons.math.util.MathUtils.indicator((int)var16);
    java.lang.Integer var18 = new java.lang.Integer(10);
    int var19 = org.apache.commons.math.util.MathUtils.indicator((int)var18);
    org.apache.commons.math.linear.RealVector var20 = var9.getSubVector((int)var17, (int)var19);
    double var21 = var9.getL1Norm();
    double[] var22 = var9.getDataRef();
    org.apache.commons.math.linear.RealVector var23 = var9.mapSinhToSelf();
    org.apache.commons.math.linear.RealVector var24 = var9.mapAsinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test436() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var2, var3};
    var0.incrementAll(var4);
    java.lang.Double var6 = new java.lang.Double((-1.0d));
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    double[] var9 = new double[] { var6, var7, var8};
    org.apache.commons.math.linear.ArrayRealVector var10 = new org.apache.commons.math.linear.ArrayRealVector(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    org.apache.commons.math.linear.RealVector var16 = var10.ebeDivide((org.apache.commons.math.linear.RealVector)var15);
    org.apache.commons.math.linear.RealVector var17 = var10.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var18 = var10.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var19 = var10.mapCeilToSelf();
    double var20 = var10.getL1Norm();
    boolean var21 = var0.equals((java.lang.Object)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.linear.RealVector var37 = var31.mapPowToSelf((double)var35);
    java.lang.Double[] var38 = new java.lang.Double[] { var35};
    org.apache.commons.math.linear.ArrayRealVector var39 = new org.apache.commons.math.linear.ArrayRealVector(var38);
    org.apache.commons.math.linear.RealVector var40 = var39.mapCbrtToSelf();
    java.lang.Integer var41 = new java.lang.Integer(100);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    java.lang.Double var43 = new java.lang.Double(10.0d);
    java.lang.Double var44 = new java.lang.Double(100.0d);
    int var45 = org.apache.commons.math.util.MathUtils.compareTo((double)var42, (double)var43, (double)var44);
    int var46 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var41, (int)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.gcd((int)var45, (int)var50);
    int var52 = org.apache.commons.math.util.MathUtils.sign((int)var51);
    java.lang.Double var53 = new java.lang.Double(100.0d);
    java.lang.Double var54 = new java.lang.Double(10.0d);
    double[] var55 = new double[] { var53, var54};
    double var56 = org.apache.commons.math.util.MathUtils.safeNorm(var55);
    var39.setEntry((int)var52, (double)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    double[] var60 = new double[] { var58, var59};
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var65 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var60, var62);
    double var66 = var65.getConstantTerm();
    double var67 = org.apache.commons.math.util.MathUtils.log((double)var56, (double)var66);
    java.lang.Double var68 = new java.lang.Double((-1.0d));
    java.lang.Double var69 = new java.lang.Double(10.0d);
    java.lang.Double var70 = new java.lang.Double(100.0d);
    int var71 = org.apache.commons.math.util.MathUtils.compareTo((double)var68, (double)var69, (double)var70);
    java.lang.Integer var72 = new java.lang.Integer(0);
    java.lang.Long var73 = new java.lang.Long(100L);
    int var74 = org.apache.commons.math.util.MathUtils.pow((int)var72, (long)var73);
    int var75 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var71, (int)var72);
    double var76 = org.apache.commons.math.util.MathUtils.factorialLog((int)var75);
    int var77 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var56, (double)var76);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test437() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    org.apache.commons.math.dfp.Dfp var12 = new org.apache.commons.math.dfp.Dfp(var11);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    java.lang.Double var14 = new java.lang.Double(10.0d);
    java.lang.Double var15 = new java.lang.Double(100.0d);
    int var16 = org.apache.commons.math.util.MathUtils.compareTo((double)var13, (double)var14, (double)var15);
    java.lang.Integer var17 = new java.lang.Integer(0);
    java.lang.Long var18 = new java.lang.Long(100L);
    int var19 = org.apache.commons.math.util.MathUtils.pow((int)var17, (long)var18);
    int var20 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var16, (int)var17);
    org.apache.commons.math.dfp.DfpField var21 = new org.apache.commons.math.dfp.DfpField(var16);
    org.apache.commons.math.dfp.Dfp var22 = var21.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var23 = var21.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var24 = var21.getLn10();
    org.apache.commons.math.dfp.Dfp var25 = var24.sqrt();
    org.apache.commons.math.dfp.Dfp var26 = org.apache.commons.math.dfp.DfpMath.atan(var25);
    org.apache.commons.math.dfp.Dfp var27 = org.apache.commons.math.dfp.DfpField.computeExp(var12, var26);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test438() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    double var18 = var17.getL1Norm();
    org.apache.commons.math.linear.RealVector var19 = var17.mapLogToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);

  }

  public void test439() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Double var15 = new java.lang.Double(1.0d);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    boolean var17 = org.apache.commons.math.util.MathUtils.equals((double)var15, (double)var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(10.0d);
    java.lang.Double var20 = new java.lang.Double(100.0d);
    int var21 = org.apache.commons.math.util.MathUtils.compareTo((double)var18, (double)var19, (double)var20);
    boolean var22 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var13, (double)var16, (double)var20);
    org.apache.commons.math.linear.RealVector var23 = var4.append((double)var16);
    org.apache.commons.math.linear.RealVector var24 = var4.mapAcos();
    double[] var25 = var4.toArray();
    java.lang.Double var26 = new java.lang.Double(1.0d);
    java.lang.Double var27 = new java.lang.Double(1.0d);
    boolean var28 = org.apache.commons.math.util.MathUtils.equals((double)var26, (double)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    double var33 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var26, (double)var29);
    org.apache.commons.math.linear.RealVector var34 = var4.mapMultiplyToSelf((double)var33);
    org.apache.commons.math.linear.RealVector var35 = var4.mapSqrtToSelf();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(0.0d);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    double[] var39 = new double[] { var36, var37, var38};
    org.apache.commons.math.linear.ArrayRealVector var40 = new org.apache.commons.math.linear.ArrayRealVector(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    double[] var44 = new double[] { var41, var42, var43};
    org.apache.commons.math.linear.ArrayRealVector var45 = new org.apache.commons.math.linear.ArrayRealVector(var44);
    org.apache.commons.math.linear.RealVector var46 = var40.ebeDivide((org.apache.commons.math.linear.RealVector)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    org.apache.commons.math.linear.RealVector var51 = var45.mapPowToSelf((double)var49);
    java.lang.Double[] var52 = new java.lang.Double[] { var49};
    org.apache.commons.math.linear.ArrayRealVector var53 = new org.apache.commons.math.linear.ArrayRealVector(var52);
    org.apache.commons.math.linear.RealVector var54 = var53.mapCbrtToSelf();
    java.lang.Integer var55 = new java.lang.Integer(100);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    int var60 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var55, (int)var59);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    java.lang.Double var62 = new java.lang.Double(10.0d);
    java.lang.Double var63 = new java.lang.Double(100.0d);
    int var64 = org.apache.commons.math.util.MathUtils.compareTo((double)var61, (double)var62, (double)var63);
    int var65 = org.apache.commons.math.util.MathUtils.gcd((int)var59, (int)var64);
    int var66 = org.apache.commons.math.util.MathUtils.sign((int)var65);
    java.lang.Double var67 = new java.lang.Double(100.0d);
    java.lang.Double var68 = new java.lang.Double(10.0d);
    double[] var69 = new double[] { var67, var68};
    double var70 = org.apache.commons.math.util.MathUtils.safeNorm(var69);
    var53.setEntry((int)var66, (double)var70);
    java.lang.Double var72 = new java.lang.Double((-1.0d));
    java.lang.Double var73 = new java.lang.Double((-1.0d));
    double[] var74 = new double[] { var72, var73};
    java.lang.Double var75 = new java.lang.Double((-1.0d));
    java.lang.Double var76 = new java.lang.Double(10.0d);
    java.lang.Double var77 = new java.lang.Double(100.0d);
    int var78 = org.apache.commons.math.util.MathUtils.compareTo((double)var75, (double)var76, (double)var77);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var79 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var74, var76);
    double var80 = var79.getConstantTerm();
    double var81 = org.apache.commons.math.util.MathUtils.log((double)var70, (double)var80);
    var4.set((double)var80);
    org.apache.commons.math.linear.RealVector var83 = var4.mapAcosToSelf();
    org.apache.commons.math.linear.RealVector var84 = var4.mapExpToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var74 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test440() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    org.apache.commons.math.linear.RealVector var19 = var18.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var20 = var18.mapRintToSelf();
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(0.0d);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    double[] var24 = new double[] { var21, var22, var23};
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(0.0d);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var26, var27, var28};
    org.apache.commons.math.linear.ArrayRealVector var30 = new org.apache.commons.math.linear.ArrayRealVector(var29);
    org.apache.commons.math.linear.RealVector var31 = var25.ebeDivide((org.apache.commons.math.linear.RealVector)var30);
    org.apache.commons.math.linear.RealVector var32 = var25.mapLog10ToSelf();
    java.lang.Double var33 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var34 = var25.mapMultiplyToSelf((double)var33);
    double var35 = org.apache.commons.math.util.MathUtils.indicator((double)var33);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    double var40 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var33, (double)var37);
    org.apache.commons.math.linear.RealVector var41 = var18.mapPow((double)var33);
    org.apache.commons.math.complex.ComplexField var42 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var43 = var42.getZero();
    org.apache.commons.math.complex.Complex var44 = var43.sinh();
    double var45 = var43.getImaginary();
    double var46 = org.apache.commons.math.util.MathUtils.indicator((double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(0.0d);
    java.lang.Double var49 = new java.lang.Double((-1.0d));
    double[] var50 = new double[] { var47, var48, var49};
    org.apache.commons.math.linear.ArrayRealVector var51 = new org.apache.commons.math.linear.ArrayRealVector(var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    double[] var55 = new double[] { var52, var53, var54};
    org.apache.commons.math.linear.ArrayRealVector var56 = new org.apache.commons.math.linear.ArrayRealVector(var55);
    org.apache.commons.math.linear.RealVector var57 = var51.ebeDivide((org.apache.commons.math.linear.RealVector)var56);
    org.apache.commons.math.linear.RealVector var58 = var51.mapLog10ToSelf();
    java.lang.Double var59 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var60 = var51.mapMultiplyToSelf((double)var59);
    double var61 = org.apache.commons.math.util.MathUtils.indicator((double)var59);
    java.lang.Double var62 = new java.lang.Double(0.0d);
    boolean var63 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var45, (double)var61, (double)var62);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var64 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction((org.apache.commons.math.linear.RealVector)var18, var61);
    double var65 = var64.getConstantTerm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var60 == null);

  }

  public void test441() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var9.mapPowToSelf((double)var13);
    java.lang.Double[] var16 = new java.lang.Double[] { var13};
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var16);
    org.apache.commons.math.linear.RealVector var18 = var17.mapCbrtToSelf();
    java.lang.Integer var19 = new java.lang.Integer(100);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    java.lang.Double var21 = new java.lang.Double(10.0d);
    java.lang.Double var22 = new java.lang.Double(100.0d);
    int var23 = org.apache.commons.math.util.MathUtils.compareTo((double)var20, (double)var21, (double)var22);
    int var24 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var19, (int)var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    int var29 = org.apache.commons.math.util.MathUtils.gcd((int)var23, (int)var28);
    int var30 = org.apache.commons.math.util.MathUtils.sign((int)var29);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    java.lang.Double var32 = new java.lang.Double(10.0d);
    double[] var33 = new double[] { var31, var32};
    double var34 = org.apache.commons.math.util.MathUtils.safeNorm(var33);
    var17.setEntry((int)var30, (double)var34);
    org.apache.commons.math.linear.RealVector var36 = var17.mapExpm1ToSelf();
    org.apache.commons.math.linear.RealVector var37 = var17.mapTanhToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);

  }

  public void test442() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    int var12 = var8.getIEEEFlags();
    java.lang.Long var13 = new java.lang.Long(0L);
    org.apache.commons.math.dfp.Dfp var14 = var8.newDfp((long)var13);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test443() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var25 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var23);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    var25.incrementAll(var27);
    java.lang.Float var29 = new java.lang.Float(0.0f);
    java.lang.Float var30 = new java.lang.Float((-1.0f));
    boolean var31 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var29, (float)var30);
    java.lang.Integer var32 = new java.lang.Integer(0);
    java.lang.Long var33 = new java.lang.Long(100L);
    int var34 = org.apache.commons.math.util.MathUtils.pow((int)var32, (long)var33);
    float var35 = org.apache.commons.math.util.MathUtils.round((float)var29, (int)var32);
    java.lang.Float var36 = new java.lang.Float(0.0f);
    boolean var37 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((float)var29, (float)var36);
    var25.setBiasCorrected((boolean)var37);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test444() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    double[] var27 = var24.getSumLog();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var28 = var24.getMaxImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test445() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(100.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    double[] var3 = new double[] { var1, var2};
    double var4 = org.apache.commons.math.util.MathUtils.distance(var0, var3);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);

  }

  public void test446() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    double[] var13 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var14 = new org.apache.commons.math.linear.ArrayRealVector(var4, var13);
    org.apache.commons.math.linear.RealVector var15 = var14.mapCosToSelf();
    org.apache.commons.math.linear.RealVector var16 = var14.mapAbsToSelf();
    org.apache.commons.math.linear.RealVector var17 = var14.mapSinToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);

  }

  public void test447() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    org.apache.commons.math.linear.AbstractRealVector var17 = var9.copy();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    org.apache.commons.math.linear.RealVector var29 = var22.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var30 = var22.mapInvToSelf();
    double[] var31 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var22, var31);
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var9, var32);
    org.apache.commons.math.linear.RealVector var34 = var32.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);

  }

  public void test448() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(10.0d);
    java.lang.Double var1 = new java.lang.Double(1.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var4, var5};
    // The following exception was thrown during execution.
    // Exception class: class java.lang.ArrayIndexOutOfBoundsException with canonical name: java.lang.ArrayIndexOutOfBoundsException
    // This behavior will recorded for regression testing.
    try {
      double var7 = org.apache.commons.math.util.MathUtils.distance1(var3, var6);
      fail("Expected exception of type java.lang.ArrayIndexOutOfBoundsException");
    } catch (java.lang.ArrayIndexOutOfBoundsException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test449() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp[] var9 = var8.getPiSplit();
    org.apache.commons.math.dfp.Dfp var10 = var8.getSqr2();
    var8.clearIEEEFlags();
    int var12 = var8.getRadixDigits();
    org.apache.commons.math.dfp.Dfp[] var13 = var8.getSqr2Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test450() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    org.apache.commons.math.linear.RealVector var14 = var7.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var15 = var7.mapInvToSelf();
    double[] var16 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var17 = new org.apache.commons.math.linear.ArrayRealVector(var7, var16);
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var2, var17);
    java.util.Iterator var19 = var17.iterator();
    org.apache.commons.math.linear.RealVector var20 = var17.mapInvToSelf();
    org.apache.commons.math.linear.AbstractRealVector var21 = var17.copy();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);

  }

  public void test451() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    org.apache.commons.math.dfp.Dfp var12 = org.apache.commons.math.dfp.DfpMath.cos(var11);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test452() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    boolean var18 = var9.isNaN();
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var19};
    org.apache.commons.math.linear.OpenMapRealVector var21 = new org.apache.commons.math.linear.OpenMapRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var21.add(var24);
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    double[] var27 = new double[] { var26};
    org.apache.commons.math.linear.OpenMapRealVector var28 = new org.apache.commons.math.linear.OpenMapRealVector(var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var29};
    org.apache.commons.math.linear.OpenMapRealVector var31 = new org.apache.commons.math.linear.OpenMapRealVector(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = var28.add(var31);
    double var33 = var24.dotProduct(var31);
    org.apache.commons.math.linear.RealVector var34 = var31.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var35 = var31.copy();
    org.apache.commons.math.linear.RealVector var36 = var35.mapSqrt();
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var37 = var9.projection(var36);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test453() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    int var45 = var44.log10K();
    java.lang.Integer var46 = new java.lang.Integer(100);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var46, (int)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.gcd((int)var50, (int)var55);
    org.apache.commons.math.dfp.Dfp var57 = var44.power10K((int)var50);
    java.lang.Integer var58 = new java.lang.Integer(100);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    int var63 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var58, (int)var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.gcd((int)var62, (int)var67);
    org.apache.commons.math.dfp.Dfp var69 = var44.power10((int)var67);
    org.apache.commons.math.dfp.Dfp var70 = var9.newInstance(var69);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(10.0d);
    java.lang.Double var73 = new java.lang.Double(100.0d);
    int var74 = org.apache.commons.math.util.MathUtils.compareTo((double)var71, (double)var72, (double)var73);
    java.lang.Integer var75 = new java.lang.Integer(0);
    java.lang.Long var76 = new java.lang.Long(100L);
    int var77 = org.apache.commons.math.util.MathUtils.pow((int)var75, (long)var76);
    int var78 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var74, (int)var75);
    org.apache.commons.math.dfp.DfpField var79 = new org.apache.commons.math.dfp.DfpField(var74);
    org.apache.commons.math.dfp.Dfp var80 = var79.getOne();
    int var81 = var80.log10K();
    java.lang.Integer var82 = new java.lang.Integer(100);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    int var87 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var82, (int)var86);
    java.lang.Double var88 = new java.lang.Double((-1.0d));
    java.lang.Double var89 = new java.lang.Double(10.0d);
    java.lang.Double var90 = new java.lang.Double(100.0d);
    int var91 = org.apache.commons.math.util.MathUtils.compareTo((double)var88, (double)var89, (double)var90);
    int var92 = org.apache.commons.math.util.MathUtils.gcd((int)var86, (int)var91);
    org.apache.commons.math.dfp.Dfp var93 = var80.power10K((int)var86);
    boolean var94 = var70.unequal(var80);
    org.apache.commons.math.dfp.Dfp var95 = var80.ceil();
    org.apache.commons.math.dfp.Dfp var96 = org.apache.commons.math.dfp.DfpMath.tan(var80);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var95 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var96 == null);

  }

  public void test454() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.ComplexField var16 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var17 = var16.getZero();
    double var18 = var17.getArgument();
    org.apache.commons.math.complex.Complex var19 = var13.pow(var17);
    org.apache.commons.math.complex.Complex var20 = var13.tan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);

  }

  public void test455() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double((-1.0d));
    java.lang.Double var2 = new java.lang.Double(10.0d);
    java.lang.Double var3 = new java.lang.Double(100.0d);
    int var4 = org.apache.commons.math.util.MathUtils.compareTo((double)var1, (double)var2, (double)var3);
    java.lang.Integer var5 = new java.lang.Integer(0);
    java.lang.Long var6 = new java.lang.Long(100L);
    int var7 = org.apache.commons.math.util.MathUtils.pow((int)var5, (long)var6);
    int var8 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var4, (int)var5);
    org.apache.commons.math.dfp.DfpField var9 = new org.apache.commons.math.dfp.DfpField(var4);
    org.apache.commons.math.dfp.Dfp var10 = var9.getOne();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.Dfp var21 = var9.newDfp(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    boolean var32 = var20.greaterThan(var31);
    org.apache.commons.math.dfp.Dfp var33 = new org.apache.commons.math.dfp.Dfp(var31);
    boolean var34 = var31.isNaN();
    org.apache.commons.math.linear.ArrayRealVector var35 = new org.apache.commons.math.linear.ArrayRealVector(var0, var34);
    org.apache.commons.math.linear.RealVector var36 = var35.mapLog10ToSelf();
    double var37 = var35.getNorm();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test456() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    org.apache.commons.math.linear.OpenMapRealVector var3 = var2.unitVector();
    org.apache.commons.math.linear.RealVector var4 = var2.mapCosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var2);
    org.apache.commons.math.linear.RealVector var6 = var2.mapCbrtToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);

  }

  public void test457() throws Throwable {

    java.lang.Long var0 = new java.lang.Long(100L);
    java.lang.Long var1 = new java.lang.Long(100L);
    java.lang.Long var2 = new java.lang.Long((-1L));
    long var3 = org.apache.commons.math.util.MathUtils.lcm((long)var1, (long)var2);
    java.lang.Long var4 = new java.lang.Long(100L);
    long var5 = org.apache.commons.math.util.MathUtils.mulAndCheck((long)var2, (long)var4);
    long var6 = org.apache.commons.math.util.MathUtils.gcd((long)var0, (long)var2);

  }

  public void test458() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    java.lang.Double var12 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var13 = var4.mapMultiplyToSelf((double)var12);
    double var14 = org.apache.commons.math.util.MathUtils.indicator((double)var12);
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    double[] var16 = new double[] { var15};
    org.apache.commons.math.linear.OpenMapRealVector var17 = new org.apache.commons.math.linear.OpenMapRealVector(var16);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var18};
    org.apache.commons.math.linear.OpenMapRealVector var20 = new org.apache.commons.math.linear.OpenMapRealVector(var19);
    org.apache.commons.math.linear.OpenMapRealVector var21 = var17.add(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    org.apache.commons.math.linear.OpenMapRealVector var28 = var24.add(var27);
    double var29 = var20.dotProduct(var27);
    org.apache.commons.math.complex.ComplexField var30 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var31 = var30.getZero();
    double var32 = var31.getArgument();
    int var33 = org.apache.commons.math.util.MathUtils.compareTo((double)var14, (double)var29, (double)var32);
    double var34 = org.apache.commons.math.util.MathUtils.sinh((double)var14);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);

  }

  public void test459() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    java.lang.Integer var39 = new java.lang.Integer(0);
    java.lang.Long var40 = new java.lang.Long(100L);
    int var41 = org.apache.commons.math.util.MathUtils.pow((int)var39, (long)var40);
    int var42 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var38, (int)var39);
    org.apache.commons.math.dfp.DfpField var43 = new org.apache.commons.math.dfp.DfpField(var38);
    org.apache.commons.math.dfp.Dfp var44 = var43.getOne();
    int var45 = var44.log10K();
    java.lang.Integer var46 = new java.lang.Integer(100);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    int var51 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var46, (int)var50);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double(10.0d);
    java.lang.Double var54 = new java.lang.Double(100.0d);
    int var55 = org.apache.commons.math.util.MathUtils.compareTo((double)var52, (double)var53, (double)var54);
    int var56 = org.apache.commons.math.util.MathUtils.gcd((int)var50, (int)var55);
    org.apache.commons.math.dfp.Dfp var57 = var44.power10K((int)var50);
    java.lang.Integer var58 = new java.lang.Integer(100);
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(10.0d);
    java.lang.Double var61 = new java.lang.Double(100.0d);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var59, (double)var60, (double)var61);
    int var63 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var58, (int)var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(10.0d);
    java.lang.Double var66 = new java.lang.Double(100.0d);
    int var67 = org.apache.commons.math.util.MathUtils.compareTo((double)var64, (double)var65, (double)var66);
    int var68 = org.apache.commons.math.util.MathUtils.gcd((int)var62, (int)var67);
    org.apache.commons.math.dfp.Dfp var69 = var44.power10((int)var67);
    org.apache.commons.math.dfp.Dfp var70 = var9.newInstance(var69);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    java.lang.Double var72 = new java.lang.Double(10.0d);
    java.lang.Double var73 = new java.lang.Double(100.0d);
    int var74 = org.apache.commons.math.util.MathUtils.compareTo((double)var71, (double)var72, (double)var73);
    java.lang.Integer var75 = new java.lang.Integer(0);
    java.lang.Long var76 = new java.lang.Long(100L);
    int var77 = org.apache.commons.math.util.MathUtils.pow((int)var75, (long)var76);
    int var78 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var74, (int)var75);
    org.apache.commons.math.dfp.DfpField var79 = new org.apache.commons.math.dfp.DfpField(var74);
    org.apache.commons.math.dfp.Dfp var80 = var79.getOne();
    int var81 = var80.log10K();
    java.lang.Integer var82 = new java.lang.Integer(100);
    java.lang.Double var83 = new java.lang.Double((-1.0d));
    java.lang.Double var84 = new java.lang.Double(10.0d);
    java.lang.Double var85 = new java.lang.Double(100.0d);
    int var86 = org.apache.commons.math.util.MathUtils.compareTo((double)var83, (double)var84, (double)var85);
    int var87 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var82, (int)var86);
    java.lang.Double var88 = new java.lang.Double((-1.0d));
    java.lang.Double var89 = new java.lang.Double(10.0d);
    java.lang.Double var90 = new java.lang.Double(100.0d);
    int var91 = org.apache.commons.math.util.MathUtils.compareTo((double)var88, (double)var89, (double)var90);
    int var92 = org.apache.commons.math.util.MathUtils.gcd((int)var86, (int)var91);
    org.apache.commons.math.dfp.Dfp var93 = var80.power10K((int)var86);
    boolean var94 = var70.unequal(var80);
    org.apache.commons.math.dfp.Dfp var95 = org.apache.commons.math.dfp.DfpMath.log(var70);
    int var96 = var70.classify();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var95 == null);

  }

  public void test460() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    org.apache.commons.math.complex.Complex var13 = var12.exp();
    org.apache.commons.math.complex.Complex var14 = var13.sin();
    org.apache.commons.math.complex.Complex var15 = var13.cos();
    org.apache.commons.math.complex.Complex var16 = var13.tanh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test461() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(10.0d);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    java.lang.Integer var13 = new java.lang.Integer(0);
    java.lang.Long var14 = new java.lang.Long(100L);
    int var15 = org.apache.commons.math.util.MathUtils.pow((int)var13, (long)var14);
    int var16 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var12, (int)var13);
    org.apache.commons.math.dfp.DfpField var17 = new org.apache.commons.math.dfp.DfpField(var12);
    org.apache.commons.math.dfp.Dfp var18 = var17.getOne();
    int var19 = var17.getRadixDigits();
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    var8.setIEEEFlags((int)var19);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    org.apache.commons.math.linear.RealVector var32 = var26.ebeDivide((org.apache.commons.math.linear.RealVector)var31);
    int var33 = var26.getMaxIndex();
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(1.0d);
    boolean var40 = org.apache.commons.math.util.MathUtils.equals((double)var38, (double)var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    java.lang.Double var42 = new java.lang.Double(10.0d);
    java.lang.Double var43 = new java.lang.Double(100.0d);
    int var44 = org.apache.commons.math.util.MathUtils.compareTo((double)var41, (double)var42, (double)var43);
    boolean var45 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var36, (double)var39, (double)var43);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var46 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var33, var45);
    java.lang.String var47 = var46.toString();
    org.apache.commons.math.dfp.Dfp var48 = var8.newDfp(var47);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);

  }

  public void test462() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    int var20 = var19.log10K();
    java.lang.Integer var21 = new java.lang.Integer(100);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    int var26 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var21, (int)var25);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(10.0d);
    java.lang.Double var29 = new java.lang.Double(100.0d);
    int var30 = org.apache.commons.math.util.MathUtils.compareTo((double)var27, (double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.gcd((int)var25, (int)var30);
    org.apache.commons.math.dfp.Dfp var32 = var19.power10K((int)var25);
    java.lang.Integer var33 = new java.lang.Integer(100);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(10.0d);
    java.lang.Double var36 = new java.lang.Double(100.0d);
    int var37 = org.apache.commons.math.util.MathUtils.compareTo((double)var34, (double)var35, (double)var36);
    int var38 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var33, (int)var37);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    int var43 = org.apache.commons.math.util.MathUtils.gcd((int)var37, (int)var42);
    org.apache.commons.math.dfp.Dfp var44 = var19.power10((int)var42);
    org.apache.commons.math.dfp.Dfp var45 = var9.add(var44);
    org.apache.commons.math.dfp.Dfp var46 = org.apache.commons.math.dfp.DfpMath.log(var45);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var44 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);

  }

  public void test463() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.String var17 = var9.toString();
    java.lang.Integer var18 = new java.lang.Integer(100);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    int var23 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var18, (int)var22);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.gcd((int)var22, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double(10.0d);
    java.lang.Double var42 = new java.lang.Double(100.0d);
    int var43 = org.apache.commons.math.util.MathUtils.compareTo((double)var40, (double)var41, (double)var42);
    java.lang.Double var44 = new java.lang.Double(1.0d);
    java.lang.Double var45 = new java.lang.Double(1.0d);
    boolean var46 = org.apache.commons.math.util.MathUtils.equals((double)var44, (double)var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    java.lang.Double var48 = new java.lang.Double(10.0d);
    java.lang.Double var49 = new java.lang.Double(100.0d);
    int var50 = org.apache.commons.math.util.MathUtils.compareTo((double)var47, (double)var48, (double)var49);
    boolean var51 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var42, (double)var45, (double)var49);
    org.apache.commons.math.linear.RealVector var52 = var33.append((double)var45);
    org.apache.commons.math.linear.RealVector var53 = var33.mapAcos();
    double[] var54 = var33.toArray();
    java.lang.Double var55 = new java.lang.Double(1.0d);
    java.lang.Double var56 = new java.lang.Double(1.0d);
    boolean var57 = org.apache.commons.math.util.MathUtils.equals((double)var55, (double)var56);
    java.lang.Double var58 = new java.lang.Double((-1.0d));
    java.lang.Double var59 = new java.lang.Double(10.0d);
    java.lang.Double var60 = new java.lang.Double(100.0d);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var58, (double)var59, (double)var60);
    double var62 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var55, (double)var58);
    org.apache.commons.math.linear.RealVector var63 = var33.mapMultiplyToSelf((double)var62);
    org.apache.commons.math.linear.RealVector var64 = var33.mapSqrtToSelf();
    var9.set((int)var28, var33);
    java.lang.Double var66 = new java.lang.Double(10.0d);
    java.lang.Double var67 = new java.lang.Double(0.0d);
    java.lang.Double var68 = new java.lang.Double(1.0d);
    double[] var69 = new double[] { var66, var67, var68};
    org.apache.commons.math.linear.ArrayRealVector var70 = new org.apache.commons.math.linear.ArrayRealVector(var33, var69);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);

  }

  public void test464() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    org.apache.commons.math.linear.OpenMapRealVector var8 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var6);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(0.0d);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var9, var10, var11};
    org.apache.commons.math.linear.ArrayRealVector var13 = new org.apache.commons.math.linear.ArrayRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    java.lang.Double var15 = new java.lang.Double(0.0d);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    double[] var17 = new double[] { var14, var15, var16};
    org.apache.commons.math.linear.ArrayRealVector var18 = new org.apache.commons.math.linear.ArrayRealVector(var17);
    org.apache.commons.math.linear.RealVector var19 = var13.ebeDivide((org.apache.commons.math.linear.RealVector)var18);
    org.apache.commons.math.linear.RealVector var20 = var13.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var21 = var13.mapInvToSelf();
    double[] var22 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var23 = new org.apache.commons.math.linear.ArrayRealVector(var13, var22);
    org.apache.commons.math.linear.RealVector var24 = var13.mapCbrt();
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector((org.apache.commons.math.linear.RealVector)var6, var13);
    org.apache.commons.math.linear.RealVector var26 = var13.mapLog1pToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test465() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    java.lang.Integer var14 = new java.lang.Integer(0);
    java.lang.Long var15 = new java.lang.Long(100L);
    int var16 = org.apache.commons.math.util.MathUtils.pow((int)var14, (long)var15);
    int var17 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var13, (int)var14);
    org.apache.commons.math.dfp.DfpField var18 = new org.apache.commons.math.dfp.DfpField(var13);
    org.apache.commons.math.dfp.Dfp var19 = var18.getOne();
    org.apache.commons.math.dfp.Dfp var20 = var8.newDfp(var19);
    java.lang.Double var21 = new java.lang.Double((-1.0d));
    java.lang.Double var22 = new java.lang.Double(10.0d);
    java.lang.Double var23 = new java.lang.Double(100.0d);
    int var24 = org.apache.commons.math.util.MathUtils.compareTo((double)var21, (double)var22, (double)var23);
    java.lang.Integer var25 = new java.lang.Integer(0);
    java.lang.Long var26 = new java.lang.Long(100L);
    int var27 = org.apache.commons.math.util.MathUtils.pow((int)var25, (long)var26);
    int var28 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var24, (int)var25);
    org.apache.commons.math.dfp.DfpField var29 = new org.apache.commons.math.dfp.DfpField(var24);
    org.apache.commons.math.dfp.Dfp var30 = var29.getOne();
    boolean var31 = var19.greaterThan(var30);
    java.lang.Byte var32 = new java.lang.Byte((byte)0);
    org.apache.commons.math.dfp.Dfp var33 = var30.newInstance((byte)var32);
    org.apache.commons.math.dfp.Dfp var34 = org.apache.commons.math.dfp.DfpMath.sin(var33);
    org.apache.commons.math.complex.ComplexField var35 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var36 = var35.getZero();
    double var37 = var36.getArgument();
    double var38 = var36.abs();
    java.lang.Long var39 = new java.lang.Long(100L);
    java.lang.Integer var40 = new java.lang.Integer(0);
    java.lang.Long var41 = new java.lang.Long(100L);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
    long var43 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var39, (long)var41);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    long var50 = org.apache.commons.math.util.MathUtils.pow((long)var43, (int)var49);
    double var51 = org.apache.commons.math.util.MathUtils.scalb((double)var38, (int)var49);
    double var52 = org.apache.commons.math.util.MathUtils.factorialDouble((int)var49);
    org.apache.commons.math.dfp.Dfp var53 = var34.power10K((int)var49);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);

  }

  public void test466() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    var24.clear();
    double[] var27 = var24.getSumLog();
    double[] var28 = var24.getSumLog();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var29 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var30 = var29.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var31 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var29);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(1.0d);
    java.lang.Double var34 = new java.lang.Double(1.0d);
    double[] var35 = new double[] { var32, var33, var34};
    java.lang.Integer var36 = new java.lang.Integer(10);
    int var37 = org.apache.commons.math.util.MathUtils.indicator((int)var36);
    java.lang.Integer var38 = new java.lang.Integer(100);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(10.0d);
    java.lang.Double var41 = new java.lang.Double(100.0d);
    int var42 = org.apache.commons.math.util.MathUtils.compareTo((double)var39, (double)var40, (double)var41);
    int var43 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var38, (int)var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    int var50 = org.apache.commons.math.util.MathUtils.lcm((int)var42, (int)var49);
    var29.setData(var35, (int)var37, (int)var50);
    java.lang.Double var52 = new java.lang.Double(1.0d);
    java.lang.Double var53 = new java.lang.Double(0.0d);
    java.lang.Double var54 = new java.lang.Double(1.0d);
    double[] var55 = new double[] { var52, var53, var54};
    double var56 = var29.evaluate(var55);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var57 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var29};
    var24.setSumLogImpl(var57);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var59 = var24.getSumImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);

  }

  public void test467() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(0.0d);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    double[] var25 = new double[] { var22, var23, var24};
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var25);
    org.apache.commons.math.linear.RealVector var27 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var26);
    org.apache.commons.math.linear.ArrayRealVector var28 = var9.add(var21);
    org.apache.commons.math.linear.RealVector var29 = var21.mapTanhToSelf();
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var30, var31};
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var37 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var32, var34);
    org.apache.commons.math.linear.RealVector var38 = var21.mapAddToSelf((double)var34);
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    double[] var40 = new double[] { var39};
    org.apache.commons.math.linear.OpenMapRealVector var41 = new org.apache.commons.math.linear.OpenMapRealVector(var40);
    int var42 = var41.getDimension();
    java.lang.Double var43 = new java.lang.Double(0.0d);
    java.lang.Double var44 = new java.lang.Double(0.0d);
    double[] var45 = new double[] { var43, var44};
    org.apache.commons.math.linear.RealVector var46 = var41.add(var45);
    java.lang.Double var47 = new java.lang.Double((-1.0d));
    double[] var48 = new double[] { var47};
    org.apache.commons.math.linear.OpenMapRealVector var49 = new org.apache.commons.math.linear.OpenMapRealVector(var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    double[] var51 = new double[] { var50};
    org.apache.commons.math.linear.OpenMapRealVector var52 = new org.apache.commons.math.linear.OpenMapRealVector(var51);
    org.apache.commons.math.linear.OpenMapRealVector var53 = var49.add(var52);
    org.apache.commons.math.linear.OpenMapRealVector var54 = new org.apache.commons.math.linear.OpenMapRealVector(var53);
    boolean var55 = var54.isNaN();
    org.apache.commons.math.linear.RealVector var56 = var54.mapAcosToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var57 = var41.ebeMultiply(var56);
    int var58 = var41.getDimension();
    org.apache.commons.math.linear.RealVector var59 = var41.mapSin();
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var60};
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    double[] var64 = new double[] { var63};
    org.apache.commons.math.linear.OpenMapRealVector var65 = new org.apache.commons.math.linear.OpenMapRealVector(var64);
    org.apache.commons.math.linear.OpenMapRealVector var66 = var62.add(var65);
    org.apache.commons.math.linear.OpenMapRealVector var67 = new org.apache.commons.math.linear.OpenMapRealVector(var66);
    org.apache.commons.math.linear.OpenMapRealVector var68 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var66);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    java.lang.Double var70 = new java.lang.Double(0.0d);
    java.lang.Double var71 = new java.lang.Double((-1.0d));
    double[] var72 = new double[] { var69, var70, var71};
    org.apache.commons.math.linear.ArrayRealVector var73 = new org.apache.commons.math.linear.ArrayRealVector(var72);
    java.lang.Double var74 = new java.lang.Double((-1.0d));
    java.lang.Double var75 = new java.lang.Double(0.0d);
    java.lang.Double var76 = new java.lang.Double((-1.0d));
    double[] var77 = new double[] { var74, var75, var76};
    org.apache.commons.math.linear.ArrayRealVector var78 = new org.apache.commons.math.linear.ArrayRealVector(var77);
    org.apache.commons.math.linear.RealVector var79 = var73.ebeDivide((org.apache.commons.math.linear.RealVector)var78);
    org.apache.commons.math.linear.RealVector var80 = var73.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var81 = var73.mapInvToSelf();
    double[] var82 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var83 = new org.apache.commons.math.linear.ArrayRealVector(var73, var82);
    org.apache.commons.math.linear.RealVector var84 = var73.mapCbrt();
    org.apache.commons.math.linear.ArrayRealVector var85 = new org.apache.commons.math.linear.ArrayRealVector((org.apache.commons.math.linear.RealVector)var66, var73);
    org.apache.commons.math.linear.ArrayRealVector var86 = new org.apache.commons.math.linear.ArrayRealVector((org.apache.commons.math.linear.RealVector)var41, var85);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.MathRuntimeException$4 with canonical name: null
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.RealVector var87 = var21.ebeDivide((org.apache.commons.math.linear.RealVector)var86);
      fail("Expected exception of type null");
    } catch (Exception e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var56 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var57 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var77 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test468() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(0.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    org.apache.commons.math.linear.RealVector var15 = var4.mapDivide((double)var12);
    double var16 = var4.getMaxValue();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);

  }

  public void test469() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    double var15 = var12.getSparsity();
    org.apache.commons.math.linear.RealVector var16 = var12.mapAbs();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test470() throws Throwable {

    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var0 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var1 = var0.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var2 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var0);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(1.0d);
    java.lang.Double var5 = new java.lang.Double(1.0d);
    double[] var6 = new double[] { var3, var4, var5};
    java.lang.Integer var7 = new java.lang.Integer(10);
    int var8 = org.apache.commons.math.util.MathUtils.indicator((int)var7);
    java.lang.Integer var9 = new java.lang.Integer(100);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    java.lang.Double var11 = new java.lang.Double(10.0d);
    java.lang.Double var12 = new java.lang.Double(100.0d);
    int var13 = org.apache.commons.math.util.MathUtils.compareTo((double)var10, (double)var11, (double)var12);
    int var14 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var9, (int)var13);
    java.lang.Integer var15 = new java.lang.Integer(100);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var15, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.lcm((int)var13, (int)var20);
    var0.setData(var6, (int)var8, (int)var21);
    java.lang.Double var23 = new java.lang.Double(1.0d);
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double(1.0d);
    double[] var26 = new double[] { var23, var24, var25};
    double var27 = var0.evaluate(var26);
    double[] var28 = new double[] { };
    java.lang.Double var29 = new java.lang.Double(0.0d);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    java.lang.Double var31 = new java.lang.Double(0.0d);
    double[] var32 = new double[] { var29, var30, var31};
    double var33 = org.apache.commons.math.util.MathUtils.distanceInf(var28, var32);
    var0.increment((double)var33);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);

  }

  public void test471() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    org.apache.commons.math.dfp.Dfp var12 = var8.getLn2();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);

  }

  public void test472() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(1.0d);
    java.lang.Double var1 = new java.lang.Double(1.0d);
    boolean var2 = org.apache.commons.math.util.MathUtils.equals((double)var0, (double)var1);
    java.lang.Integer var3 = new java.lang.Integer(100);
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    java.lang.Double var5 = new java.lang.Double(10.0d);
    java.lang.Double var6 = new java.lang.Double(100.0d);
    int var7 = org.apache.commons.math.util.MathUtils.compareTo((double)var4, (double)var5, (double)var6);
    int var8 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var3, (int)var7);
    java.lang.Double var9 = new java.lang.Double((-1.0d));
    java.lang.Double var10 = new java.lang.Double(10.0d);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    int var12 = org.apache.commons.math.util.MathUtils.compareTo((double)var9, (double)var10, (double)var11);
    int var13 = org.apache.commons.math.util.MathUtils.gcd((int)var7, (int)var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    boolean var21 = var20.isNaN();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = var24.unitVector();
    double var26 = var20.getDistance(var24);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    double[] var28 = new double[] { var27};
    org.apache.commons.math.linear.OpenMapRealVector var29 = new org.apache.commons.math.linear.OpenMapRealVector(var28);
    java.lang.Double var30 = new java.lang.Double((-1.0d));
    double[] var31 = new double[] { var30};
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    org.apache.commons.math.linear.OpenMapRealVector var33 = var29.add(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    org.apache.commons.math.linear.OpenMapRealVector var40 = var36.add(var39);
    double var41 = var32.dotProduct(var39);
    java.lang.Double var42 = new java.lang.Double((-1.0d));
    double[] var43 = new double[] { var42};
    org.apache.commons.math.linear.OpenMapRealVector var44 = new org.apache.commons.math.linear.OpenMapRealVector(var43);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    double[] var46 = new double[] { var45};
    org.apache.commons.math.linear.OpenMapRealVector var47 = new org.apache.commons.math.linear.OpenMapRealVector(var46);
    org.apache.commons.math.linear.OpenMapRealVector var48 = var44.add(var47);
    org.apache.commons.math.linear.OpenMapRealVector var49 = new org.apache.commons.math.linear.OpenMapRealVector(var48);
    boolean var50 = var49.isNaN();
    java.lang.Double var51 = new java.lang.Double((-1.0d));
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    double[] var53 = new double[] { var51, var52};
    java.lang.Double var54 = new java.lang.Double((-1.0d));
    java.lang.Double var55 = new java.lang.Double(10.0d);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    int var57 = org.apache.commons.math.util.MathUtils.compareTo((double)var54, (double)var55, (double)var56);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var58 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var53, var55);
    org.apache.commons.math.linear.RealVector var59 = var49.mapDivideToSelf((double)var55);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    double[] var61 = new double[] { var60};
    org.apache.commons.math.linear.OpenMapRealVector var62 = new org.apache.commons.math.linear.OpenMapRealVector(var61);
    java.lang.Double var63 = new java.lang.Double((-1.0d));
    double[] var64 = new double[] { var63};
    org.apache.commons.math.linear.OpenMapRealVector var65 = new org.apache.commons.math.linear.OpenMapRealVector(var64);
    org.apache.commons.math.linear.OpenMapRealVector var66 = var62.add(var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    double[] var68 = new double[] { var67};
    org.apache.commons.math.linear.OpenMapRealVector var69 = new org.apache.commons.math.linear.OpenMapRealVector(var68);
    java.lang.Double var70 = new java.lang.Double((-1.0d));
    double[] var71 = new double[] { var70};
    org.apache.commons.math.linear.OpenMapRealVector var72 = new org.apache.commons.math.linear.OpenMapRealVector(var71);
    org.apache.commons.math.linear.OpenMapRealVector var73 = var69.add(var72);
    double var74 = var65.dotProduct(var72);
    org.apache.commons.math.linear.RealVector var75 = var72.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var76 = var72.copy();
    java.lang.Double var77 = new java.lang.Double(0.0d);
    java.lang.Double var78 = new java.lang.Double((-1.0d));
    java.lang.Double var79 = new java.lang.Double((-1.0d));
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    org.apache.commons.math.linear.RealVector var81 = var72.mapMultiply((double)var78);
    org.apache.commons.math.complex.Complex var82 = new org.apache.commons.math.complex.Complex(var55, var78);
    org.apache.commons.math.complex.Complex var83 = new org.apache.commons.math.complex.Complex(var41, var55);
    org.apache.commons.math.linear.RealVector var84 = var24.mapMultiplyToSelf((double)var41);
    int var85 = var24.getMinIndex();
    double var86 = org.apache.commons.math.util.MathUtils.round((double)var0, (int)var7, (int)var85);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var59 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var61 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var64 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var84 == null);

  }

  public void test473() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var27 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var28 = var27.copy();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    double[] var31 = new double[] { var29, var30};
    var27.incrementAll(var31);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var33 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var27};
    var24.setSumLogImpl(var33);
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var35 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var36 = var35.copy();
    org.apache.commons.math.stat.descriptive.moment.StandardDeviation var37 = new org.apache.commons.math.stat.descriptive.moment.StandardDeviation(var35);
    java.lang.Double var38 = new java.lang.Double(1.0d);
    java.lang.Double var39 = new java.lang.Double(0.0d);
    double[] var40 = new double[] { var38, var39};
    double[] var41 = new double[] { };
    java.lang.Double var42 = new java.lang.Double(0.0d);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(0.0d);
    double[] var45 = new double[] { var42, var43, var44};
    double var46 = org.apache.commons.math.util.MathUtils.distanceInf(var41, var45);
    double var47 = var37.evaluate(var40, (double)var46);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var48 = new org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] { var37};
    var24.setMeanImpl(var48);
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var50 = var24.getMinImpl();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);

  }

  public void test474() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var10 = var8.getRoundingMode();
    org.apache.commons.math.dfp.Dfp var11 = var8.getLn10();
    int var12 = var8.getIEEEFlags();
    int var13 = var8.getIEEEFlags();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);

  }

  public void test475() throws Throwable {

    org.apache.commons.math.complex.ComplexField var0 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var1 = var0.getZero();
    double var2 = var1.getArgument();
    boolean var3 = var1.isInfinite();
    org.apache.commons.math.complex.ComplexField var4 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var5 = var4.getZero();
    org.apache.commons.math.complex.Complex var6 = var5.sinh();
    org.apache.commons.math.complex.ComplexField var7 = var5.getField();
    org.apache.commons.math.complex.ComplexField var8 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var9 = var8.getZero();
    org.apache.commons.math.complex.Complex var10 = var9.sinh();
    org.apache.commons.math.complex.Complex var11 = var5.add(var10);
    org.apache.commons.math.complex.Complex var12 = var1.add(var10);
    org.apache.commons.math.complex.Complex var13 = var12.exp();
    org.apache.commons.math.complex.Complex var14 = var13.sin();
    boolean var15 = var13.isInfinite();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var7 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test476() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    org.apache.commons.math.linear.AbstractRealVector var17 = var9.copy();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    org.apache.commons.math.linear.RealVector var29 = var22.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var30 = var22.mapInvToSelf();
    double[] var31 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var22, var31);
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var9, var32);
    double[] var34 = var33.getDataRef();
    double var35 = var33.getMaxValue();
    org.apache.commons.math.linear.RealVector var36 = var33.mapAtanToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);

  }

  public void test477() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    java.lang.Double var1 = new java.lang.Double(10.0d);
    double[] var2 = new double[] { var0, var1};
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    java.lang.Double var4 = new java.lang.Double(0.0d);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    double[] var6 = new double[] { var3, var4, var5};
    org.apache.commons.math.linear.ArrayRealVector var7 = new org.apache.commons.math.linear.ArrayRealVector(var6);
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    java.lang.Double var9 = new java.lang.Double(0.0d);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var8, var9, var10};
    org.apache.commons.math.linear.ArrayRealVector var12 = new org.apache.commons.math.linear.ArrayRealVector(var11);
    org.apache.commons.math.linear.RealVector var13 = var7.ebeDivide((org.apache.commons.math.linear.RealVector)var12);
    int var14 = var7.getMaxIndex();
    java.lang.Double var15 = new java.lang.Double((-1.0d));
    java.lang.Double var16 = new java.lang.Double(10.0d);
    java.lang.Double var17 = new java.lang.Double(100.0d);
    int var18 = org.apache.commons.math.util.MathUtils.compareTo((double)var15, (double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double(1.0d);
    java.lang.Double var20 = new java.lang.Double(1.0d);
    boolean var21 = org.apache.commons.math.util.MathUtils.equals((double)var19, (double)var20);
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    boolean var26 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var17, (double)var20, (double)var24);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var27 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var14, var26);
    double[] var28 = var27.getStandardDeviation();
    int var29 = var27.getDimension();
    int var30 = var27.getDimension();
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var31};
    org.apache.commons.math.linear.OpenMapRealVector var33 = new org.apache.commons.math.linear.OpenMapRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    org.apache.commons.math.linear.OpenMapRealVector var37 = var33.add(var36);
    org.apache.commons.math.linear.OpenMapRealVector var38 = new org.apache.commons.math.linear.OpenMapRealVector(var37);
    boolean var39 = var38.isNaN();
    java.lang.Double var40 = new java.lang.Double((-1.0d));
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var40, var41};
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var47 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction(var42, var44);
    org.apache.commons.math.linear.RealVector var48 = var38.mapDivideToSelf((double)var44);
    org.apache.commons.math.linear.RealVector var49 = var38.mapAcosToSelf();
    double var50 = var38.getSparcity();
    java.lang.Double var51 = new java.lang.Double(1.0d);
    boolean var52 = org.apache.commons.math.util.MathUtils.equals((double)var50, (double)var51);
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.NonMonotonousSequenceException with canonical name: org.apache.commons.math.exception.NonMonotonousSequenceException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.util.MathUtils.checkOrder(var2, (int)var30, (boolean)var52);
      fail("Expected exception of type org.apache.commons.math.exception.NonMonotonousSequenceException");
    } catch (org.apache.commons.math.exception.NonMonotonousSequenceException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var48 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);

  }

  public void test478() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    org.apache.commons.math.linear.OpenMapRealVector var7 = new org.apache.commons.math.linear.OpenMapRealVector(var6);
    java.lang.Double var8 = new java.lang.Double(100.0d);
    java.lang.Double var9 = new java.lang.Double(0.0d);
    double[] var10 = new double[] { var8, var9};
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(0.0d);
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    org.apache.commons.math.linear.ArrayRealVector var15 = new org.apache.commons.math.linear.ArrayRealVector(var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    double[] var19 = new double[] { var16, var17, var18};
    org.apache.commons.math.linear.ArrayRealVector var20 = new org.apache.commons.math.linear.ArrayRealVector(var19);
    org.apache.commons.math.linear.RealVector var21 = var15.ebeDivide((org.apache.commons.math.linear.RealVector)var20);
    org.apache.commons.math.linear.RealVector var22 = var15.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var23 = var15.mapInvToSelf();
    double[] var24 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var25 = new org.apache.commons.math.linear.ArrayRealVector(var15, var24);
    org.apache.commons.math.linear.ArrayRealVector var26 = new org.apache.commons.math.linear.ArrayRealVector(var10, var25);
    org.apache.commons.math.linear.RealVector var27 = var26.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var28 = var26.mapRintToSelf();
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(0.0d);
    java.lang.Double var31 = new java.lang.Double((-1.0d));
    double[] var32 = new double[] { var29, var30, var31};
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    java.lang.Double var35 = new java.lang.Double(0.0d);
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    double[] var37 = new double[] { var34, var35, var36};
    org.apache.commons.math.linear.ArrayRealVector var38 = new org.apache.commons.math.linear.ArrayRealVector(var37);
    org.apache.commons.math.linear.RealVector var39 = var33.ebeDivide((org.apache.commons.math.linear.RealVector)var38);
    org.apache.commons.math.linear.RealVector var40 = var33.mapLog10ToSelf();
    java.lang.Double var41 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var42 = var33.mapMultiplyToSelf((double)var41);
    double var43 = org.apache.commons.math.util.MathUtils.indicator((double)var41);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(10.0d);
    java.lang.Double var46 = new java.lang.Double(100.0d);
    int var47 = org.apache.commons.math.util.MathUtils.compareTo((double)var44, (double)var45, (double)var46);
    double var48 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var41, (double)var45);
    org.apache.commons.math.linear.RealVector var49 = var26.mapPow((double)var41);
    org.apache.commons.math.complex.ComplexField var50 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var51 = var50.getZero();
    org.apache.commons.math.complex.Complex var52 = var51.sinh();
    double var53 = var51.getImaginary();
    double var54 = org.apache.commons.math.util.MathUtils.indicator((double)var53);
    java.lang.Double var55 = new java.lang.Double((-1.0d));
    java.lang.Double var56 = new java.lang.Double(0.0d);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    double[] var58 = new double[] { var55, var56, var57};
    org.apache.commons.math.linear.ArrayRealVector var59 = new org.apache.commons.math.linear.ArrayRealVector(var58);
    java.lang.Double var60 = new java.lang.Double((-1.0d));
    java.lang.Double var61 = new java.lang.Double(0.0d);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    double[] var63 = new double[] { var60, var61, var62};
    org.apache.commons.math.linear.ArrayRealVector var64 = new org.apache.commons.math.linear.ArrayRealVector(var63);
    org.apache.commons.math.linear.RealVector var65 = var59.ebeDivide((org.apache.commons.math.linear.RealVector)var64);
    org.apache.commons.math.linear.RealVector var66 = var59.mapLog10ToSelf();
    java.lang.Double var67 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var68 = var59.mapMultiplyToSelf((double)var67);
    double var69 = org.apache.commons.math.util.MathUtils.indicator((double)var67);
    java.lang.Double var70 = new java.lang.Double(0.0d);
    boolean var71 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var53, (double)var69, (double)var70);
    org.apache.commons.math.optimization.linear.LinearObjectiveFunction var72 = new org.apache.commons.math.optimization.linear.LinearObjectiveFunction((org.apache.commons.math.linear.RealVector)var26, var69);
    org.apache.commons.math.linear.OpenMapRealVector var73 = var7.append((double)var69);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var63 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var68 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);

  }

  public void test479() throws Throwable {

    double[] var0 = new double[] { };
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    java.lang.Double var3 = new java.lang.Double(0.0d);
    double[] var4 = new double[] { var1, var2, var3};
    double var5 = org.apache.commons.math.util.MathUtils.distanceInf(var0, var4);
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    java.lang.Double var8 = new java.lang.Double((-1.0d));
    int var9 = org.apache.commons.math.util.MathUtils.compareTo((double)var6, (double)var7, (double)var8);
    org.apache.commons.math.complex.Complex var10 = org.apache.commons.math.complex.ComplexUtils.polar2Complex((double)var5, (double)var6);
    org.apache.commons.math.complex.Complex var11 = var10.cos();
    org.apache.commons.math.complex.ComplexField var12 = org.apache.commons.math.complex.ComplexField.getInstance();
    org.apache.commons.math.complex.Complex var13 = var12.getZero();
    double var14 = var13.getArgument();
    org.apache.commons.math.complex.Complex var15 = var10.subtract(var13);
    org.apache.commons.math.complex.Complex var16 = var10.atan();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var0 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);

  }

  public void test480() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    org.apache.commons.math.dfp.Dfp var32 = var20.newDfp(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    boolean var43 = var31.greaterThan(var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var42, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var42);
    org.apache.commons.math.dfp.Dfp var52 = var8.getSqr2();
    org.apache.commons.math.dfp.Dfp var53 = var8.getSqr2Reciprocal();
    org.apache.commons.math.dfp.Dfp[] var54 = var8.getESplit();
    org.apache.commons.math.dfp.Dfp[] var55 = var8.getLn5Split();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var53 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);

  }

  public void test481() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    double[] var26 = var24.getSumSq();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);

  }

  public void test482() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(1.0d);
    java.lang.Double var1 = new java.lang.Double(0.0d);
    double[] var2 = new double[] { var0, var1};
    double var3 = org.apache.commons.math.util.MathUtils.safeNorm(var2);
    java.lang.Integer var4 = new java.lang.Integer(100);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(10.0d);
    java.lang.Double var7 = new java.lang.Double(100.0d);
    int var8 = org.apache.commons.math.util.MathUtils.compareTo((double)var5, (double)var6, (double)var7);
    int var9 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var4, (int)var8);
    java.lang.Integer var10 = new java.lang.Integer(100);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    int var15 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var10, (int)var14);
    java.lang.Double var16 = new java.lang.Double((-1.0d));
    java.lang.Double var17 = new java.lang.Double(10.0d);
    java.lang.Double var18 = new java.lang.Double(100.0d);
    int var19 = org.apache.commons.math.util.MathUtils.compareTo((double)var16, (double)var17, (double)var18);
    int var20 = org.apache.commons.math.util.MathUtils.gcd((int)var14, (int)var19);
    int var21 = org.apache.commons.math.util.MathUtils.sign((int)var20);
    double var22 = org.apache.commons.math.util.MathUtils.round((double)var3, (int)var9, (int)var20);
    java.lang.Long var23 = new java.lang.Long(100L);
    java.lang.Integer var24 = new java.lang.Integer(0);
    java.lang.Long var25 = new java.lang.Long(100L);
    int var26 = org.apache.commons.math.util.MathUtils.pow((int)var24, (long)var25);
    long var27 = org.apache.commons.math.util.MathUtils.subAndCheck((long)var23, (long)var25);
    java.lang.Integer var28 = new java.lang.Integer(100);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var28, (int)var32);
    long var34 = org.apache.commons.math.util.MathUtils.pow((long)var23, (int)var28);
    int var35 = org.apache.commons.math.util.MathUtils.lcm((int)var9, (int)var28);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var2 == null);

  }

  public void test483() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    java.lang.Double var26 = new java.lang.Double((-1.0d));
    java.lang.Double var27 = new java.lang.Double(10.0d);
    java.lang.Double var28 = new java.lang.Double(1.0d);
    java.lang.Double var29 = new java.lang.Double(1.0d);
    boolean var30 = org.apache.commons.math.util.MathUtils.equals((double)var28, (double)var29);
    int var31 = org.apache.commons.math.util.MathUtils.compareTo((double)var26, (double)var27, (double)var28);
    org.apache.commons.math.linear.RealVector var32 = var9.mapPow((double)var27);
    org.apache.commons.math.linear.RealVector var33 = var9.mapCosToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var33 == null);

  }

  public void test484() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapSignum();
    org.apache.commons.math.linear.AbstractRealVector var17 = var9.copy();
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double(0.0d);
    java.lang.Double var20 = new java.lang.Double((-1.0d));
    double[] var21 = new double[] { var18, var19, var20};
    org.apache.commons.math.linear.ArrayRealVector var22 = new org.apache.commons.math.linear.ArrayRealVector(var21);
    java.lang.Double var23 = new java.lang.Double((-1.0d));
    java.lang.Double var24 = new java.lang.Double(0.0d);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var23, var24, var25};
    org.apache.commons.math.linear.ArrayRealVector var27 = new org.apache.commons.math.linear.ArrayRealVector(var26);
    org.apache.commons.math.linear.RealVector var28 = var22.ebeDivide((org.apache.commons.math.linear.RealVector)var27);
    org.apache.commons.math.linear.RealVector var29 = var22.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var30 = var22.mapInvToSelf();
    double[] var31 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var32 = new org.apache.commons.math.linear.ArrayRealVector(var22, var31);
    org.apache.commons.math.linear.ArrayRealVector var33 = new org.apache.commons.math.linear.ArrayRealVector(var9, var32);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var34};
    org.apache.commons.math.linear.OpenMapRealVector var36 = new org.apache.commons.math.linear.OpenMapRealVector(var35);
    java.lang.Double var37 = new java.lang.Double((-1.0d));
    double[] var38 = new double[] { var37};
    org.apache.commons.math.linear.OpenMapRealVector var39 = new org.apache.commons.math.linear.OpenMapRealVector(var38);
    org.apache.commons.math.linear.OpenMapRealVector var40 = var36.add(var39);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var41};
    org.apache.commons.math.linear.OpenMapRealVector var43 = new org.apache.commons.math.linear.OpenMapRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    double[] var45 = new double[] { var44};
    org.apache.commons.math.linear.OpenMapRealVector var46 = new org.apache.commons.math.linear.OpenMapRealVector(var45);
    org.apache.commons.math.linear.OpenMapRealVector var47 = var43.add(var46);
    double var48 = var39.dotProduct(var46);
    org.apache.commons.math.linear.RealVector var49 = var46.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var50 = var46.copy();
    java.lang.Double var51 = new java.lang.Double(0.0d);
    java.lang.Double var52 = new java.lang.Double((-1.0d));
    java.lang.Double var53 = new java.lang.Double((-1.0d));
    int var54 = org.apache.commons.math.util.MathUtils.compareTo((double)var51, (double)var52, (double)var53);
    org.apache.commons.math.linear.RealVector var55 = var46.mapMultiply((double)var52);
    java.lang.Double var56 = new java.lang.Double(100.0d);
    java.lang.Double var57 = new java.lang.Double(0.0d);
    double[] var58 = new double[] { var56, var57};
    java.lang.Double var59 = new java.lang.Double((-1.0d));
    java.lang.Double var60 = new java.lang.Double(0.0d);
    java.lang.Double var61 = new java.lang.Double((-1.0d));
    double[] var62 = new double[] { var59, var60, var61};
    org.apache.commons.math.linear.ArrayRealVector var63 = new org.apache.commons.math.linear.ArrayRealVector(var62);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    java.lang.Double var65 = new java.lang.Double(0.0d);
    java.lang.Double var66 = new java.lang.Double((-1.0d));
    double[] var67 = new double[] { var64, var65, var66};
    org.apache.commons.math.linear.ArrayRealVector var68 = new org.apache.commons.math.linear.ArrayRealVector(var67);
    org.apache.commons.math.linear.RealVector var69 = var63.ebeDivide((org.apache.commons.math.linear.RealVector)var68);
    org.apache.commons.math.linear.RealVector var70 = var63.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var71 = var63.mapInvToSelf();
    double[] var72 = new double[] { };
    org.apache.commons.math.linear.ArrayRealVector var73 = new org.apache.commons.math.linear.ArrayRealVector(var63, var72);
    org.apache.commons.math.linear.ArrayRealVector var74 = new org.apache.commons.math.linear.ArrayRealVector(var58, var73);
    java.util.Iterator var75 = var73.iterator();
    org.apache.commons.math.linear.OpenMapRealVector var76 = new org.apache.commons.math.linear.OpenMapRealVector((org.apache.commons.math.linear.RealVector)var73);
    double var77 = var73.getMaxValue();
    double var78 = org.apache.commons.math.util.MathUtils.nextAfter((double)var52, (double)var77);
    org.apache.commons.math.linear.RealVector var79 = var33.mapDivideToSelf((double)var52);
    java.lang.Double var80 = new java.lang.Double(0.0d);
    java.lang.Double var81 = new java.lang.Double((-1.0d));
    double[] var82 = new double[] { var80, var81};
    java.lang.Double var83 = new java.lang.Double(1.0d);
    java.lang.Double var84 = new java.lang.Double(1.0d);
    boolean var85 = org.apache.commons.math.util.MathUtils.equals((double)var83, (double)var84);
    java.lang.Double var86 = new java.lang.Double((-1.0d));
    java.lang.Double var87 = new java.lang.Double(10.0d);
    java.lang.Double var88 = new java.lang.Double(100.0d);
    int var89 = org.apache.commons.math.util.MathUtils.compareTo((double)var86, (double)var87, (double)var88);
    double var90 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var83, (double)var86);
    double[] var91 = org.apache.commons.math.util.MathUtils.normalizeArray(var82, (double)var83);
    org.apache.commons.math.linear.RealVector var92 = var33.mapDivideToSelf((double)var83);
    org.apache.commons.math.linear.RealVector var93 = var33.mapAbsToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var38 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var58 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var62 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var67 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var69 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var71 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var79 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var91 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var92 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var93 == null);

  }

  public void test485() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    java.lang.Double var11 = new java.lang.Double(100.0d);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double((-1.0d));
    double[] var14 = new double[] { var11, var12, var13};
    double var15 = var9.getL1Distance(var14);
    org.apache.commons.math.linear.RealVector var16 = var9.mapUlpToSelf();
    org.apache.commons.math.linear.RealVector var17 = var9.mapCeil();
    org.apache.commons.math.linear.RealVector var18 = var9.mapRint();
    var9.unitize();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

  public void test486() throws Throwable {

    java.lang.Double var0 = new java.lang.Double(100.0d);
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.ArrayRealVector var2 = new org.apache.commons.math.linear.ArrayRealVector(var1);
    org.apache.commons.math.linear.RealVector var3 = var2.mapLog1pToSelf();
    java.lang.Double var4 = new java.lang.Double((-1.0d));
    double[] var5 = new double[] { var4};
    org.apache.commons.math.linear.OpenMapRealVector var6 = new org.apache.commons.math.linear.OpenMapRealVector(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    org.apache.commons.math.linear.OpenMapRealVector var10 = var6.add(var9);
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    double[] var12 = new double[] { var11};
    org.apache.commons.math.linear.OpenMapRealVector var13 = new org.apache.commons.math.linear.OpenMapRealVector(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    org.apache.commons.math.linear.OpenMapRealVector var17 = var13.add(var16);
    double var18 = var9.dotProduct(var16);
    org.apache.commons.math.linear.RealVector var19 = var16.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.copy();
    org.apache.commons.math.linear.RealMatrix var21 = var2.outerProduct((org.apache.commons.math.linear.RealVector)var20);
    org.apache.commons.math.linear.RealVector var22 = var2.mapRintToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var5 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var19 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);

  }

  public void test487() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getMinImpl();
    double[] var27 = var24.getSumSq();
    java.lang.String var28 = var24.toString();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test488() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var9.log10K();
    java.lang.Integer var11 = new java.lang.Integer(100);
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    int var16 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var11, (int)var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(10.0d);
    java.lang.Double var19 = new java.lang.Double(100.0d);
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    int var21 = org.apache.commons.math.util.MathUtils.gcd((int)var15, (int)var20);
    org.apache.commons.math.dfp.Dfp var22 = var9.power10K((int)var15);
    java.lang.Integer var23 = new java.lang.Integer(100);
    java.lang.Double var24 = new java.lang.Double((-1.0d));
    java.lang.Double var25 = new java.lang.Double(10.0d);
    java.lang.Double var26 = new java.lang.Double(100.0d);
    int var27 = org.apache.commons.math.util.MathUtils.compareTo((double)var24, (double)var25, (double)var26);
    int var28 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var23, (int)var27);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    java.lang.Double var30 = new java.lang.Double(10.0d);
    java.lang.Double var31 = new java.lang.Double(100.0d);
    int var32 = org.apache.commons.math.util.MathUtils.compareTo((double)var29, (double)var30, (double)var31);
    int var33 = org.apache.commons.math.util.MathUtils.gcd((int)var27, (int)var32);
    org.apache.commons.math.dfp.Dfp var34 = var9.power10((int)var32);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    java.lang.Double var36 = new java.lang.Double(10.0d);
    java.lang.Double var37 = new java.lang.Double(100.0d);
    int var38 = org.apache.commons.math.util.MathUtils.compareTo((double)var35, (double)var36, (double)var37);
    org.apache.commons.math.dfp.Dfp var39 = var9.divide((int)var38);
    org.apache.commons.math.dfp.Dfp var40 = org.apache.commons.math.dfp.DfpMath.atan(var9);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var39 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var40 == null);

  }

  public void test489() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    java.lang.Double var11 = new java.lang.Double((-1.0d));
    java.lang.Double var12 = new java.lang.Double(10.0d);
    java.lang.Double var13 = new java.lang.Double(100.0d);
    int var14 = org.apache.commons.math.util.MathUtils.compareTo((double)var11, (double)var12, (double)var13);
    java.lang.Integer var15 = new java.lang.Integer(0);
    java.lang.Long var16 = new java.lang.Long(100L);
    int var17 = org.apache.commons.math.util.MathUtils.pow((int)var15, (long)var16);
    int var18 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var14, (int)var15);
    org.apache.commons.math.dfp.DfpField var19 = new org.apache.commons.math.dfp.DfpField(var14);
    org.apache.commons.math.dfp.Dfp var20 = var19.getOne();
    org.apache.commons.math.dfp.DfpField.RoundingMode var21 = var19.getRoundingMode();
    var8.setRoundingMode(var21);
    int var23 = var8.getIEEEFlags();
    org.apache.commons.math.dfp.Dfp var24 = var8.getSqr2();
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    java.lang.Double var26 = new java.lang.Double(10.0d);
    java.lang.Double var27 = new java.lang.Double(100.0d);
    int var28 = org.apache.commons.math.util.MathUtils.compareTo((double)var25, (double)var26, (double)var27);
    java.lang.Integer var29 = new java.lang.Integer(0);
    java.lang.Long var30 = new java.lang.Long(100L);
    int var31 = org.apache.commons.math.util.MathUtils.pow((int)var29, (long)var30);
    int var32 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var28, (int)var29);
    org.apache.commons.math.dfp.DfpField var33 = new org.apache.commons.math.dfp.DfpField(var28);
    org.apache.commons.math.dfp.Dfp[] var34 = var33.getPiSplit();
    org.apache.commons.math.dfp.Dfp var35 = var33.getE();
    java.lang.Double var36 = new java.lang.Double((-1.0d));
    java.lang.Double var37 = new java.lang.Double(10.0d);
    java.lang.Double var38 = new java.lang.Double(100.0d);
    int var39 = org.apache.commons.math.util.MathUtils.compareTo((double)var36, (double)var37, (double)var38);
    java.lang.Integer var40 = new java.lang.Integer(0);
    java.lang.Long var41 = new java.lang.Long(100L);
    int var42 = org.apache.commons.math.util.MathUtils.pow((int)var40, (long)var41);
    int var43 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var39, (int)var40);
    org.apache.commons.math.dfp.DfpField var44 = new org.apache.commons.math.dfp.DfpField(var39);
    org.apache.commons.math.dfp.Dfp var45 = var44.getOne();
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    java.lang.Double var47 = new java.lang.Double(10.0d);
    java.lang.Double var48 = new java.lang.Double(100.0d);
    int var49 = org.apache.commons.math.util.MathUtils.compareTo((double)var46, (double)var47, (double)var48);
    java.lang.Integer var50 = new java.lang.Integer(0);
    java.lang.Long var51 = new java.lang.Long(100L);
    int var52 = org.apache.commons.math.util.MathUtils.pow((int)var50, (long)var51);
    int var53 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var49, (int)var50);
    org.apache.commons.math.dfp.DfpField var54 = new org.apache.commons.math.dfp.DfpField(var49);
    org.apache.commons.math.dfp.Dfp var55 = var54.getOne();
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(100.0d);
    int var59 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Integer var60 = new java.lang.Integer(0);
    java.lang.Long var61 = new java.lang.Long(100L);
    int var62 = org.apache.commons.math.util.MathUtils.pow((int)var60, (long)var61);
    int var63 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var59, (int)var60);
    org.apache.commons.math.dfp.DfpField var64 = new org.apache.commons.math.dfp.DfpField(var59);
    org.apache.commons.math.dfp.Dfp var65 = var64.getOne();
    org.apache.commons.math.dfp.Dfp var66 = var54.newDfp(var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(10.0d);
    java.lang.Double var69 = new java.lang.Double(100.0d);
    int var70 = org.apache.commons.math.util.MathUtils.compareTo((double)var67, (double)var68, (double)var69);
    java.lang.Integer var71 = new java.lang.Integer(0);
    java.lang.Long var72 = new java.lang.Long(100L);
    int var73 = org.apache.commons.math.util.MathUtils.pow((int)var71, (long)var72);
    int var74 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var70, (int)var71);
    org.apache.commons.math.dfp.DfpField var75 = new org.apache.commons.math.dfp.DfpField(var70);
    org.apache.commons.math.dfp.Dfp var76 = var75.getOne();
    boolean var77 = var65.greaterThan(var76);
    org.apache.commons.math.dfp.Dfp var78 = var45.remainder(var76);
    org.apache.commons.math.dfp.Dfp var79 = new org.apache.commons.math.dfp.Dfp(var78);
    org.apache.commons.math.dfp.Dfp var80 = var35.add(var78);
    org.apache.commons.math.dfp.Dfp var81 = org.apache.commons.math.dfp.Dfp.copysign(var24, var35);
    org.apache.commons.math.dfp.Dfp var82 = org.apache.commons.math.dfp.DfpMath.log(var81);
    org.apache.commons.math.dfp.Dfp var83 = org.apache.commons.math.dfp.DfpMath.tan(var81);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var34 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var55 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var66 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var76 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var78 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var80 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var81 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var82 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var83 == null);

  }

  public void test490() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    org.apache.commons.math.linear.RealVector var22 = var12.mapFloor();
    double[] var23 = new double[] { };
    org.apache.commons.math.linear.OpenMapRealVector var24 = var12.append(var23);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);

  }

  public void test491() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    int var10 = var8.getRadixDigits();
    var8.clearIEEEFlags();
    org.apache.commons.math.dfp.Dfp var12 = var8.getSqr3Reciprocal();
    org.apache.commons.math.dfp.Dfp var13 = org.apache.commons.math.dfp.DfpMath.log(var12);
    java.lang.String var14 = var13.toString();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);

  }

  public void test492() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    double var14 = var5.dotProduct(var12);
    org.apache.commons.math.linear.RealVector var15 = var12.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var16 = var12.copy();
    java.lang.Double var17 = new java.lang.Double(0.0d);
    java.lang.Double var18 = new java.lang.Double((-1.0d));
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    int var20 = org.apache.commons.math.util.MathUtils.compareTo((double)var17, (double)var18, (double)var19);
    org.apache.commons.math.linear.RealVector var21 = var12.mapMultiply((double)var18);
    java.lang.Double var22 = new java.lang.Double(10.0d);
    double[] var23 = new double[] { var22};
    org.apache.commons.math.linear.OpenMapRealVector var24 = new org.apache.commons.math.linear.OpenMapRealVector(var23);
    org.apache.commons.math.linear.OpenMapRealVector var25 = new org.apache.commons.math.linear.OpenMapRealVector(var24);
    double var26 = var12.getL1Distance(var24);
    java.lang.Double var27 = new java.lang.Double((-1.0d));
    java.lang.Double var28 = new java.lang.Double(0.0d);
    java.lang.Double var29 = new java.lang.Double((-1.0d));
    double[] var30 = new double[] { var27, var28, var29};
    org.apache.commons.math.linear.ArrayRealVector var31 = new org.apache.commons.math.linear.ArrayRealVector(var30);
    java.lang.Double var32 = new java.lang.Double((-1.0d));
    java.lang.Double var33 = new java.lang.Double(0.0d);
    java.lang.Double var34 = new java.lang.Double((-1.0d));
    double[] var35 = new double[] { var32, var33, var34};
    org.apache.commons.math.linear.ArrayRealVector var36 = new org.apache.commons.math.linear.ArrayRealVector(var35);
    org.apache.commons.math.linear.RealVector var37 = var31.ebeDivide((org.apache.commons.math.linear.RealVector)var36);
    java.lang.Double var38 = new java.lang.Double((-1.0d));
    java.lang.Double var39 = new java.lang.Double(10.0d);
    java.lang.Double var40 = new java.lang.Double(100.0d);
    int var41 = org.apache.commons.math.util.MathUtils.compareTo((double)var38, (double)var39, (double)var40);
    org.apache.commons.math.linear.RealVector var42 = var36.mapPowToSelf((double)var40);
    java.lang.Double[] var43 = new java.lang.Double[] { var40};
    org.apache.commons.math.linear.ArrayRealVector var44 = new org.apache.commons.math.linear.ArrayRealVector(var43);
    org.apache.commons.math.linear.RealVector var45 = var44.mapCbrtToSelf();
    org.apache.commons.math.linear.RealVector var46 = var44.mapLog10ToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var47 = var24.ebeDivide((org.apache.commons.math.linear.RealVector)var44);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var30 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var35 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var37 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var43 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var45 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var46 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);

  }

  public void test493() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double(0.0d);
    java.lang.Double var8 = new java.lang.Double(10.0d);
    java.lang.Double var9 = new java.lang.Double(10.0d);
    double[] var10 = new double[] { var7, var8, var9};
    // The following exception was thrown during execution.
    // Exception class: class org.apache.commons.math.exception.DimensionMismatchException with canonical name: org.apache.commons.math.exception.DimensionMismatchException
    // This behavior will recorded for regression testing.
    try {
      org.apache.commons.math.linear.OpenMapRealVector var11 = var6.ebeDivide(var10);
      fail("Expected exception of type org.apache.commons.math.exception.DimensionMismatchException");
    } catch (org.apache.commons.math.exception.DimensionMismatchException e) {
      // Expected exception.
    }
    
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);

  }

  public void test494() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var9.mapAsinToSelf();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(0.0d);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var12, var13, var14};
    org.apache.commons.math.linear.ArrayRealVector var16 = new org.apache.commons.math.linear.ArrayRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    java.lang.Double var18 = new java.lang.Double(0.0d);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    double[] var20 = new double[] { var17, var18, var19};
    org.apache.commons.math.linear.ArrayRealVector var21 = new org.apache.commons.math.linear.ArrayRealVector(var20);
    org.apache.commons.math.linear.RealVector var22 = var16.ebeDivide((org.apache.commons.math.linear.RealVector)var21);
    org.apache.commons.math.linear.RealVector var23 = var16.mapRintToSelf();
    org.apache.commons.math.linear.ArrayRealVector var24 = var9.ebeDivide(var16);
    org.apache.commons.math.linear.RealVector var25 = var9.mapLog1pToSelf();
    org.apache.commons.math.linear.RealVector var26 = var9.mapExpToSelf();
    org.apache.commons.math.linear.RealVector var27 = var9.mapSinh();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);

  }

  public void test495() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    double[] var25 = var24.getStandardDeviation();
    int var26 = var24.getDimension();
    java.lang.Integer var27 = new java.lang.Integer(10);
    java.lang.Integer var28 = new java.lang.Integer(10);
    double var29 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var27, (int)var28);
    java.lang.Integer var30 = new java.lang.Integer(0);
    java.lang.Long var31 = new java.lang.Long(100L);
    int var32 = org.apache.commons.math.util.MathUtils.pow((int)var30, (long)var31);
    double var33 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var28, (int)var30);
    int var34 = org.apache.commons.math.util.MathUtils.gcd((int)var26, (int)var30);
    java.lang.Double var35 = new java.lang.Double((-1.0d));
    double[] var36 = new double[] { var35};
    org.apache.commons.math.linear.OpenMapRealVector var37 = new org.apache.commons.math.linear.OpenMapRealVector(var36);
    int var38 = var37.getDimension();
    java.lang.Double var39 = new java.lang.Double((-1.0d));
    java.lang.Double var40 = new java.lang.Double(0.0d);
    java.lang.Double var41 = new java.lang.Double((-1.0d));
    double[] var42 = new double[] { var39, var40, var41};
    org.apache.commons.math.linear.ArrayRealVector var43 = new org.apache.commons.math.linear.ArrayRealVector(var42);
    java.lang.Double var44 = new java.lang.Double((-1.0d));
    java.lang.Double var45 = new java.lang.Double(0.0d);
    java.lang.Double var46 = new java.lang.Double((-1.0d));
    double[] var47 = new double[] { var44, var45, var46};
    org.apache.commons.math.linear.ArrayRealVector var48 = new org.apache.commons.math.linear.ArrayRealVector(var47);
    org.apache.commons.math.linear.RealVector var49 = var43.ebeDivide((org.apache.commons.math.linear.RealVector)var48);
    java.lang.Double var50 = new java.lang.Double((-1.0d));
    java.lang.Double var51 = new java.lang.Double(10.0d);
    java.lang.Double var52 = new java.lang.Double(100.0d);
    int var53 = org.apache.commons.math.util.MathUtils.compareTo((double)var50, (double)var51, (double)var52);
    org.apache.commons.math.linear.RealVector var54 = var48.mapPowToSelf((double)var52);
    org.apache.commons.math.linear.ArrayRealVector var55 = new org.apache.commons.math.linear.ArrayRealVector(var38, var52);
    java.lang.Double var56 = new java.lang.Double((-1.0d));
    java.lang.Double var57 = new java.lang.Double(10.0d);
    java.lang.Double var58 = new java.lang.Double(1.0d);
    java.lang.Double var59 = new java.lang.Double(1.0d);
    boolean var60 = org.apache.commons.math.util.MathUtils.equals((double)var58, (double)var59);
    int var61 = org.apache.commons.math.util.MathUtils.compareTo((double)var56, (double)var57, (double)var58);
    java.lang.Double var62 = new java.lang.Double((-1.0d));
    java.lang.Double var63 = new java.lang.Double(0.0d);
    java.lang.Double var64 = new java.lang.Double((-1.0d));
    double[] var65 = new double[] { var62, var63, var64};
    org.apache.commons.math.linear.ArrayRealVector var66 = new org.apache.commons.math.linear.ArrayRealVector(var65);
    java.lang.Double var67 = new java.lang.Double((-1.0d));
    java.lang.Double var68 = new java.lang.Double(0.0d);
    java.lang.Double var69 = new java.lang.Double((-1.0d));
    double[] var70 = new double[] { var67, var68, var69};
    org.apache.commons.math.linear.ArrayRealVector var71 = new org.apache.commons.math.linear.ArrayRealVector(var70);
    org.apache.commons.math.linear.RealVector var72 = var66.ebeDivide((org.apache.commons.math.linear.RealVector)var71);
    org.apache.commons.math.linear.RealVector var73 = var66.mapLog10ToSelf();
    java.lang.Double var74 = new java.lang.Double(1.0d);
    org.apache.commons.math.linear.RealVector var75 = var66.mapMultiplyToSelf((double)var74);
    double var76 = org.apache.commons.math.util.MathUtils.indicator((double)var74);
    java.lang.Double var77 = new java.lang.Double((-1.0d));
    java.lang.Double var78 = new java.lang.Double(10.0d);
    java.lang.Double var79 = new java.lang.Double(100.0d);
    int var80 = org.apache.commons.math.util.MathUtils.compareTo((double)var77, (double)var78, (double)var79);
    double var81 = org.apache.commons.math.util.MathUtils.normalizeAngle((double)var74, (double)var78);
    java.lang.Integer var82 = new java.lang.Integer(10);
    java.lang.Integer var83 = new java.lang.Integer(10);
    double var84 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var82, (int)var83);
    java.lang.Integer var85 = new java.lang.Integer(0);
    java.lang.Long var86 = new java.lang.Long(100L);
    int var87 = org.apache.commons.math.util.MathUtils.pow((int)var85, (long)var86);
    double var88 = org.apache.commons.math.util.MathUtils.binomialCoefficientLog((int)var83, (int)var85);
    boolean var89 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var58, (double)var78, (int)var85);
    org.apache.commons.math.linear.RealVector var90 = var55.mapMultiplyToSelf((double)var58);
    double var91 = org.apache.commons.math.util.MathUtils.sinh((double)var58);
    org.apache.commons.math.linear.OpenMapRealVector var92 = new org.apache.commons.math.linear.OpenMapRealVector(var34, var91);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var25 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var47 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var49 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var54 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var65 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var70 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var72 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var73 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var75 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var90 == null);

  }

  public void test496() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    java.lang.Double var14 = new java.lang.Double((-1.0d));
    double[] var15 = new double[] { var14};
    org.apache.commons.math.linear.OpenMapRealVector var16 = new org.apache.commons.math.linear.OpenMapRealVector(var15);
    java.lang.Double var17 = new java.lang.Double((-1.0d));
    double[] var18 = new double[] { var17};
    org.apache.commons.math.linear.OpenMapRealVector var19 = new org.apache.commons.math.linear.OpenMapRealVector(var18);
    org.apache.commons.math.linear.OpenMapRealVector var20 = var16.add(var19);
    double var21 = var12.dotProduct(var19);
    org.apache.commons.math.linear.RealVector var22 = var19.mapAtanToSelf();
    org.apache.commons.math.linear.OpenMapRealVector var23 = var19.copy();
    org.apache.commons.math.linear.OpenMapRealVector var24 = var6.subtract((org.apache.commons.math.linear.RealVector)var19);
    java.lang.Double var25 = new java.lang.Double((-1.0d));
    double[] var26 = new double[] { var25};
    org.apache.commons.math.linear.OpenMapRealVector var27 = new org.apache.commons.math.linear.OpenMapRealVector(var26);
    java.lang.Double var28 = new java.lang.Double((-1.0d));
    double[] var29 = new double[] { var28};
    org.apache.commons.math.linear.OpenMapRealVector var30 = new org.apache.commons.math.linear.OpenMapRealVector(var29);
    org.apache.commons.math.linear.OpenMapRealVector var31 = var27.add(var30);
    org.apache.commons.math.linear.OpenMapRealVector var32 = new org.apache.commons.math.linear.OpenMapRealVector(var31);
    double var33 = var6.getDistance(var32);
    java.lang.Double var34 = new java.lang.Double(100.0d);
    java.lang.Double var35 = new java.lang.Double(0.0d);
    double[] var36 = new double[] { var34, var35};
    int var37 = org.apache.commons.math.util.MathUtils.hash(var36);
    boolean var38 = var32.equals((java.lang.Object)var37);
    java.lang.Double var39 = new java.lang.Double(100.0d);
    java.lang.Double var40 = new java.lang.Double(0.0d);
    double[] var41 = new double[] { var39, var40};
    int var42 = org.apache.commons.math.util.MathUtils.hash(var41);
    java.lang.Double var43 = new java.lang.Double((-1.0d));
    java.lang.Double var44 = new java.lang.Double(10.0d);
    java.lang.Double var45 = new java.lang.Double(100.0d);
    int var46 = org.apache.commons.math.util.MathUtils.compareTo((double)var43, (double)var44, (double)var45);
    java.lang.Integer var47 = new java.lang.Integer(0);
    java.lang.Long var48 = new java.lang.Long(100L);
    int var49 = org.apache.commons.math.util.MathUtils.pow((int)var47, (long)var48);
    int var50 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var46, (int)var47);
    org.apache.commons.math.dfp.DfpField var51 = new org.apache.commons.math.dfp.DfpField(var46);
    org.apache.commons.math.dfp.Dfp var52 = var51.getOne();
    int var53 = var52.log10K();
    int var54 = org.apache.commons.math.util.MathUtils.indicator((int)var53);
    long var55 = org.apache.commons.math.util.MathUtils.factorial((int)var53);
    int var56 = org.apache.commons.math.util.MathUtils.pow((int)var42, (long)var55);
    java.lang.Double var57 = new java.lang.Double((-1.0d));
    java.lang.Double var58 = new java.lang.Double(10.0d);
    java.lang.Double var59 = new java.lang.Double(1.0d);
    java.lang.Double var60 = new java.lang.Double(1.0d);
    boolean var61 = org.apache.commons.math.util.MathUtils.equals((double)var59, (double)var60);
    int var62 = org.apache.commons.math.util.MathUtils.compareTo((double)var57, (double)var58, (double)var59);
    org.apache.commons.math.linear.OpenMapRealVector var63 = new org.apache.commons.math.linear.OpenMapRealVector(var37, var56, var58);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var15 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var20 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var22 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var23 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var24 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var29 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var36 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var41 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test497() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    int var11 = var4.getMaxIndex();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Double var16 = new java.lang.Double(1.0d);
    java.lang.Double var17 = new java.lang.Double(1.0d);
    boolean var18 = org.apache.commons.math.util.MathUtils.equals((double)var16, (double)var17);
    java.lang.Double var19 = new java.lang.Double((-1.0d));
    java.lang.Double var20 = new java.lang.Double(10.0d);
    java.lang.Double var21 = new java.lang.Double(100.0d);
    int var22 = org.apache.commons.math.util.MathUtils.compareTo((double)var19, (double)var20, (double)var21);
    boolean var23 = org.apache.commons.math.util.MathUtils.equalsIncludingNaN((double)var14, (double)var17, (double)var21);
    org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics var24 = new org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics(var11, var23);
    java.lang.String var25 = var24.toString();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var26 = var24.getSumImpl();
    org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic[] var27 = var24.getMeanImpl();
    double[] var28 = var24.getMean();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var26 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var27 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var28 == null);

  }

  public void test498() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(0.0d);
    java.lang.Double var2 = new java.lang.Double((-1.0d));
    double[] var3 = new double[] { var0, var1, var2};
    org.apache.commons.math.linear.ArrayRealVector var4 = new org.apache.commons.math.linear.ArrayRealVector(var3);
    java.lang.Double var5 = new java.lang.Double((-1.0d));
    java.lang.Double var6 = new java.lang.Double(0.0d);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var5, var6, var7};
    org.apache.commons.math.linear.ArrayRealVector var9 = new org.apache.commons.math.linear.ArrayRealVector(var8);
    org.apache.commons.math.linear.RealVector var10 = var4.ebeDivide((org.apache.commons.math.linear.RealVector)var9);
    org.apache.commons.math.linear.RealVector var11 = var4.mapLog10ToSelf();
    org.apache.commons.math.linear.RealVector var12 = var4.mapInvToSelf();
    org.apache.commons.math.linear.RealVector var13 = var4.mapCeilToSelf();
    org.apache.commons.math.linear.RealVector var14 = var4.mapCoshToSelf();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var3 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var12 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var14 == null);

  }

  public void test499() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    java.lang.Double var1 = new java.lang.Double(10.0d);
    java.lang.Double var2 = new java.lang.Double(100.0d);
    int var3 = org.apache.commons.math.util.MathUtils.compareTo((double)var0, (double)var1, (double)var2);
    java.lang.Integer var4 = new java.lang.Integer(0);
    java.lang.Long var5 = new java.lang.Long(100L);
    int var6 = org.apache.commons.math.util.MathUtils.pow((int)var4, (long)var5);
    int var7 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var3, (int)var4);
    org.apache.commons.math.dfp.DfpField var8 = new org.apache.commons.math.dfp.DfpField(var3);
    org.apache.commons.math.dfp.Dfp var9 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var10 = var8.getOne();
    org.apache.commons.math.dfp.Dfp var11 = var8.getSqr2();
    java.lang.Double var12 = new java.lang.Double((-1.0d));
    java.lang.Double var13 = new java.lang.Double(10.0d);
    java.lang.Double var14 = new java.lang.Double(100.0d);
    int var15 = org.apache.commons.math.util.MathUtils.compareTo((double)var12, (double)var13, (double)var14);
    java.lang.Integer var16 = new java.lang.Integer(0);
    java.lang.Long var17 = new java.lang.Long(100L);
    int var18 = org.apache.commons.math.util.MathUtils.pow((int)var16, (long)var17);
    int var19 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var15, (int)var16);
    org.apache.commons.math.dfp.DfpField var20 = new org.apache.commons.math.dfp.DfpField(var15);
    org.apache.commons.math.dfp.Dfp var21 = var20.getOne();
    java.lang.Double var22 = new java.lang.Double((-1.0d));
    java.lang.Double var23 = new java.lang.Double(10.0d);
    java.lang.Double var24 = new java.lang.Double(100.0d);
    int var25 = org.apache.commons.math.util.MathUtils.compareTo((double)var22, (double)var23, (double)var24);
    java.lang.Integer var26 = new java.lang.Integer(0);
    java.lang.Long var27 = new java.lang.Long(100L);
    int var28 = org.apache.commons.math.util.MathUtils.pow((int)var26, (long)var27);
    int var29 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var25, (int)var26);
    org.apache.commons.math.dfp.DfpField var30 = new org.apache.commons.math.dfp.DfpField(var25);
    org.apache.commons.math.dfp.Dfp var31 = var30.getOne();
    org.apache.commons.math.dfp.Dfp var32 = var20.newDfp(var31);
    java.lang.Double var33 = new java.lang.Double((-1.0d));
    java.lang.Double var34 = new java.lang.Double(10.0d);
    java.lang.Double var35 = new java.lang.Double(100.0d);
    int var36 = org.apache.commons.math.util.MathUtils.compareTo((double)var33, (double)var34, (double)var35);
    java.lang.Integer var37 = new java.lang.Integer(0);
    java.lang.Long var38 = new java.lang.Long(100L);
    int var39 = org.apache.commons.math.util.MathUtils.pow((int)var37, (long)var38);
    int var40 = org.apache.commons.math.util.MathUtils.mulAndCheck((int)var36, (int)var37);
    org.apache.commons.math.dfp.DfpField var41 = new org.apache.commons.math.dfp.DfpField(var36);
    org.apache.commons.math.dfp.Dfp var42 = var41.getOne();
    boolean var43 = var31.greaterThan(var42);
    java.lang.Integer var44 = new java.lang.Integer(100);
    java.lang.Double var45 = new java.lang.Double((-1.0d));
    java.lang.Double var46 = new java.lang.Double(10.0d);
    java.lang.Double var47 = new java.lang.Double(100.0d);
    int var48 = org.apache.commons.math.util.MathUtils.compareTo((double)var45, (double)var46, (double)var47);
    int var49 = org.apache.commons.math.util.MathUtils.addAndCheck((int)var44, (int)var48);
    org.apache.commons.math.dfp.Dfp var50 = org.apache.commons.math.dfp.DfpMath.pow(var42, (int)var49);
    org.apache.commons.math.dfp.Dfp var51 = var8.newDfp(var42);
    org.apache.commons.math.dfp.Dfp var52 = var8.getSqr3Reciprocal();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var9 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var10 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var21 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var31 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var32 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var42 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var50 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var51 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var52 == null);

  }

  public void test500() throws Throwable {

    java.lang.Double var0 = new java.lang.Double((-1.0d));
    double[] var1 = new double[] { var0};
    org.apache.commons.math.linear.OpenMapRealVector var2 = new org.apache.commons.math.linear.OpenMapRealVector(var1);
    java.lang.Double var3 = new java.lang.Double((-1.0d));
    double[] var4 = new double[] { var3};
    org.apache.commons.math.linear.OpenMapRealVector var5 = new org.apache.commons.math.linear.OpenMapRealVector(var4);
    org.apache.commons.math.linear.OpenMapRealVector var6 = var2.add(var5);
    java.lang.Double var7 = new java.lang.Double((-1.0d));
    double[] var8 = new double[] { var7};
    org.apache.commons.math.linear.OpenMapRealVector var9 = new org.apache.commons.math.linear.OpenMapRealVector(var8);
    java.lang.Double var10 = new java.lang.Double((-1.0d));
    double[] var11 = new double[] { var10};
    org.apache.commons.math.linear.OpenMapRealVector var12 = new org.apache.commons.math.linear.OpenMapRealVector(var11);
    org.apache.commons.math.linear.OpenMapRealVector var13 = var9.add(var12);
    org.apache.commons.math.linear.OpenMapRealVector var14 = new org.apache.commons.math.linear.OpenMapRealVector(var13);
    boolean var15 = var14.isNaN();
    org.apache.commons.math.linear.RealVector var16 = var5.projection((org.apache.commons.math.linear.RealVector)var14);
    org.apache.commons.math.linear.RealVector var17 = var5.mapSinhToSelf();
    double[] var18 = var5.toArray();
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var1 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var4 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var6 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var8 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var11 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var13 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var16 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var17 == null);
    
    // Regression assertion (captures the current behavior of the code)
    assertFalse(var18 == null);

  }

}
